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  <journal-id journal-id-type="publisher-id">46</journal-id>
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  <journal-id journal-id-type="doi">10.31703/gssr</journal-id>
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    <journal-title>Global Social Sciences Review</journal-title>
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  <issn publication-format="print">2520-0348</issn>
  <issn publication-format="electronic">2616-793X</issn>
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    <publisher-name>Humanity Publications</publisher-name>
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  <article-id pub-id-type="publisher-id">396035</article-id>
  <article-id pub-id-type="doi">10.31703/gssr.2026(XI-III).03</article-id>
  <article-id pub-id-type="other" specific-use="submission-id">6502</article-id>
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  <title-group>
    <article-title xml:lang="en">Why We Cling to Flawed Influencers: Psychological Mechanisms Behind Loyalty to Deceptive Social Media Figures</article-title>
  </title-group>
<contrib-group>
  <contrib contrib-type="author" seq="1" corresp="yes">
    <name>
      <surname>Alolyan</surname>
      <given-names>Asma</given-names>
    </name>
    <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
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  <aff id="aff1">
    <label>1</label>
    <institution-wrap>
      <institution>PhD Psychology, Manchester Metropolitan University, Manchester</institution>
    </institution-wrap>
    <addr-line>United Kingdom (UK)</addr-line>
    <country>United Kingdom</country>
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<author-notes>
  <corresp id="cor1">Corresponding Author: Asma Alolyan, PhD Psychology, Manchester Metropolitan University, Manchester, United Kingdom (UK).</corresp>
<fn fn-type="COI-statement" id="fn-coi">
  <p>The authors declare that they have no conflicts of interest.</p>
</fn>
<fn fn-type="ethics-statement" id="fn-ethics">
  <p>This study did not require formal ethics approval.</p>
</fn>
<fn fn-type="data-availability-statement" id="fn-data">
  <p>Data sharing is not applicable to this article.</p>
</fn>
</author-notes>
<pub-date pub-type="epub" date-type="pub" publication-format="electronic">
  <day>30</day>
  <month>09</month>
  <year>2026</year>
</pub-date>
<pub-date pub-type="collection">
  <month>09</month>
  <year>2026</year>
</pub-date>
<pub-date date-type="pub" publication-format="print">
  <day>17</day>
  <month>09</month>
  <year>2026</year>
</pub-date>
  <volume>11</volume>
  <issue>3</issue>
  <season>Summer</season>
  <fpage>24</fpage>
  <lpage>41</lpage>
  <history>
    <date date-type="accepted">
      <day>17</day>
      <month>09</month>
      <year>2026</year>
    </date>
  </history>
<funding-group>
  <funding-statement>
<p>The authors received no specific funding for this work.</p>
  </funding-statement>
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  <copyright-year>2026</copyright-year>
  <copyright-holder>Humanity Publications</copyright-holder>
  <license license-type="open-access" xml:lang="en" xlink:href="https://creativecommons.org/licenses/by/4.0/">
    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License.</license-p>
  </license>
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  <abstract>
    <p>Existing studies on loyalty to social media influencers have mainly focused on cognitive dissonance, parasocial bonding, the halo effect, social identity, and just-world belief, each in isolation. This paper advances an argument: that these five mechanisms occur not independently but in a sequence, each reducing psychological resistance to the next and producing loyalties more resistant than any single mechanism alone. We call this the compounding loyalty model. Cognitive dissonance is the initial motivation that causes a follower to realize something is wrong; parasocial bonding makes rationalization a requirement, not an option; the halo effect provides a surface-level basis for maintaining trust despite misbehavior; social identity makes loyalty costly to lose; and just-world belief provides a motivated argument that deception did not happen at all. We draw this model from cases including James Charles(2021)and Ramon Abbas, convicted of fraud in 2022. We discuss media literacy, ethical marketing, and platform policy.</p>
  </abstract>
<kwd-group kwd-group-type="author-keywords">
  <kwd>Influencers</kwd>
  <kwd>Social Media</kwd>
  <kwd>Cognitive Dissonance</kwd>
  <kwd>Para-Social Relationships</kwd>
  <kwd>Halo Effect</kwd>
  <kwd>Social Identity Theory</kwd>
  <kwd>Just World Hypothesis</kwd>
  <kwd>Compounding Loyalty Model</kwd>
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<sec id="sec-1"><title>Introduction:</title></sec><p>These social media sites have created a whole new type of &quot;public face,&quot; the influencers who  have become popular for their seeming authenticity, relatability, and success. The numbers  market products and lifestyles, from skincare to monetary possibilities, and sometimes with  hidden business incentives and inaccurate results. The author&apos;s case in point is that some years  ago after being convinced that a certain fitness influencer&apos;s promotional material about smoothies  was correct, the author bought a £50 smoothie packet that was found to be just another smoothie  made from a repackaged match powder, which is a lot cheaper. This anecdotal experience is  echoed by a larger trend: audiences are more likely to stick with influencers even when they  discover that this person is being deceptive, sponsored, is making false claims, or is outright  lying. This paper investigates the psychological processes underlying that loyalty.</p><p>The existing literature provides a good amount of insight into why each of these processes may  maintain influencer loyalty, but they are presented as standalone explanations. Studies of  parasocial interaction (Sokolova &amp; Kefi, <xref ref-type="bibr" rid="ref173982">2020</xref>; Sokolova &amp; Perez, <xref ref-type="bibr" rid="ref173983">2021</xref>) test that mechanism  largely on its own; studies of disclosure and persuasion knowledge (Eisend, van Reijmersdal,  Boerman, &amp; Tarrahi, <xref ref-type="bibr" rid="ref173966">2020</xref>) examine the halo effect and source credibility largely in isolation  from identity-based motives; and social identity accounts of fan defense (Jenkins, <xref ref-type="bibr" rid="ref173974">1992</xref>) are  rarely connected back to the dissonance-reduction literature that explains why the initial  admiration was resistant to revision in the first place. What is missing is an account of how these  mechanisms relate to one another, whether they are simply redundant alternative explanations for  the same outcome, or whether they interact in a way that makes the resulting loyalty more  resistant to correction than any one mechanism could produce alone.</p>
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<sec id="sec-3"><title>The Compounding Loyalty Model</title></sec><p>This paper argues for the second possibility. We propose that cognitive dissonance, parasocial  bonding, the halo effect, social identity, and just-world reasoning do not operate as parallel,  redundant explanations but as a sequence, in which each mechanism lowers the resistance the  next mechanism subsequently encounters. We term this the compounding loyalty model. In  short: Cognitive dissonance is the first mechanism activated, usually in response to encountering  disconfirming evidence, and creates a motivated need to rationalize, not revise. The  rationalization is not enough to make it seem necessary as opposed to convenient, however,  because there is a relational cost to giving up on the admiration of someone felt as a quasi-field,  which would not apply to giving up on the admiration of a stranger.</p><p>The halo effect then provides an &quot;excuse&quot; for the rationalization that is already going on;  attractiveness or polish is interpreted as proof that the disconfirming evidence must be &quot;unreal&quot;  or &quot;excessive. Social identity is about turning something private and individual into something  public and social, when a follower criticizes the influencer, he or she is not only confronting their  beliefs, he or she is confronting him or her in a group. Lastly, any lingering doubts are swept away  by providing a general purpose explanation for why the deception, if it exists, will be &apos;rewarded&apos;  sooner or later, allowing the follower to avoid specific action. This type of sequencing creates  predictions that simple listing of independent mechanisms doesn&apos;t. However, if the mechanisms  are truly sequential, as opposed to simply cooccurring, then an intervention that only targets the  mechanism activated first in the sequence (e.g., a fact-check aiming at correcting the dissonance  inducing claim) should have measurably weaker effects than an intervention that targets both a  mechanism earlier in the sequence, and another later in the sequence (e.g., a fact-check aimed at  correcting the dissonance inducing claim while also targeting a later stage mechanism like social  identity). A prediction of this sort is used directly in section 10.1, and is discussed experimentally  in section 11. The rest of the paper elaborates on each mechanism in turn, pointing to the cases  and evidence that have justified its inclusion in the series, and then in Section 9 and 10 revisits  the compounding strategy, as opposed to the &quot;mechanism by mechanism&quot; approach that has</p><p>dominated the literature so far.</p><p>The central research question for this analysis is thus double: first, what psychological  mechanisms help followers stick with a deceptive influencer once they&apos;ve come to know it&apos;s  deceptive and second, are these mechanisms independent and redundant or are they part of a  sequential process through which earlier mechanisms can be more effective? Together with  empirical studies by Chou, Gaysynsky and Cappella (<xref ref-type="bibr" rid="ref173964">2020</xref>) and Sokolova and Perez (<xref ref-type="bibr" rid="ref173983">2021</xref>), and  by relying on documented cases such as that of James Charles and the fraud case of Ramon  Abbas (Hushpuppi), we claim the second answer, and uncover its implications for media literacy  and consumer behaviour.</p>
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<sec id="sec-5"><title>Cognitive Dissonance</title></sec><p>Cognitive dissonance is the feeling of discomfort that occurs when a person has two conflicting  thoughts, such as liking a particular influencer and knowing that the influencer may be lying  (Festinger, <xref ref-type="bibr" rid="ref173970">1957</xref>). People often develop rationalizations to alleviate this discomfort, instead of  changing their feelings of admiration. After all, many of the followers of beauty blogger, James  Charles, who has been criticized by the public for promoting scientifically unproven skin care  products in 2021, downplayed the controversy and considered exaggeration a normal part of  business promotion. Aronson (<xref ref-type="bibr" rid="ref173962">1992</xref>) reports that this type of rationalization is typical when the  figure being defended is a figure who has strong emotional investment for the individual, so that  the follower is able to maintain his or her initial evaluation even though the evidence is more  likely to be a different evaluation. This rationalization is the first in the chain of events that make  up the compounding model developed here; by itself it is not definitive and is quickly  undermined by other mechanisms that are described in the following paragraphs.</p>
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<sec id="sec-7"><title>Parasocial Relationships</title></sec><p>Influencers create a feeling of camaraderie like a true friend. In the form of unscripted stories,  stand-up videos of daily routines, and videos directly addressed to the viewer, fitness influencer  Kayla It sines invests in the personal investment of individual viewers. These one-sided  emotional bonds are called parasocial relationships and have an effect on the audience&apos;s  behaviour (Horton &amp; Wohl, <xref ref-type="bibr" rid="ref173973">1956</xref>). As per Sokolova and Perez (<xref ref-type="bibr" rid="ref173983">2021</xref>), the researcher noted that  people who had a parasocial relationship with the fitness influencers on YouTube were more  likely to continue watching the content and for already-watching followers, more likely to  exercise, indicating that people who feel a parasocial relationship with the fitness influencer are  more likely to continue viewing the content, rather than evaluating it independently. This is  reflected in the way people interact with the influencer when he/she is criticized, as seen in the  case of Kylie Jenner&apos;s criticism after the company&apos;s products did not perform as well as they  could in 2019. In similar fashion, Sokolova and Kefi (<xref ref-type="bibr" rid="ref173982">2020</xref>) point out that parasocial connections  diminish the critical examination by followers and bring about a sense of being known and  trusted by an influencer, transforming him or her into a more intimate than business-like presence.</p>
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<sec id="sec-9"><title>The Halo Effect</title></sec><p>The halo effect is a phenomenon in which people tend to assume that positive attributes such as  trustworthiness and competence are attributed to those who are attractive, despite a lack of  evidence for such attributes (Thorndike, <xref ref-type="bibr" rid="ref173985">1920</xref>). For example, Kim Kardashian&apos;s SKIMS brand  did not face the same problems in terms of commercial performance that other similar lines did  in that it was seen as genuine and consumers rated it highly for its performance. (Ohanian, <xref ref-type="bibr" rid="ref173981">1990</xref>).  This bias is also a factor in the comparatively small amount of damage done to the influencer  Tana Mongeau after the 2019 TanaCon fiasco, to the extent that a smooth façade can mask  problems with handling or even lying to their audience.</p>
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<sec id="sec-11"><title>Social Identity</title></sec><p>Belonging to a particular group or class may be seen as an affiliation to an influencer, and  criticism of an influencer may be interpreted as criticism of the follower. The pattern can be  explained with the social identity theory (Tajfel &amp; Turner, <xref ref-type="bibr" rid="ref173984">1979</xref>) that was the result of an online  controversy in 2018 for YouTuber Logan Paul, who was criticised for his actions, prompting  many of his followers to mobilize to protect his identity, claiming that the situation had been  misunderstood. When it comes to defending the criticized person, it appears that group loyalty  within fan groups is at the forefront of followers&apos; minds, as Jenkins (<xref ref-type="bibr" rid="ref173974">1992</xref>) demonstrates.</p>
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<sec id="sec-13"><title>The Just-World Hypothesis</title></sec><p>The just-world hypothesis is that people tend to think that people get what they deserve in life,  that success is due to merit, and that evil is ultimately retribution (Lerner, <xref ref-type="bibr" rid="ref173976">1980</xref>). Before being  convicted of fraud in 2022, Ramon Abbas (&quot;Hushpuppi&quot;) shared a life of great wealth on</p><p>Instagram, with many followers seemingly believing that this was his rightfully earned wealth.  To say so would have meant admitting that the social world is not always reliable, that is, that  hard work is not always rewarded. As Furnham (<xref ref-type="bibr" rid="ref173971">2003</xref>) suggests this bias is especially strong  when it comes to rich celebrities and can obscure evidence of wrong-doing until it is too obvious to ignore.</p>
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<sec id="sec-15"><title>Mechanisms of Deception</title></sec><p>Whether knowingly or not, influencers engage in the biases outlined above. There are three  common trends in the literature:</p><p>Exaggerated health claims. The false health based claims about vaccines, treatments, and other  relevant topics are rampant on social media and have been found to spread more quickly and  farther than the truth; they have been reported to lead to increased vaccine controversy and  promotion of untested treatments (Chou, Gaysynsky, &amp; Cappella, <xref ref-type="bibr" rid="ref173964">2020</xref>). This is a big driver of  this trend, especially when it comes to products like &apos;detox&apos; teas and unproven supplements,  which was something that escalated during the COVID -19 pandemic.</p><p>Amplification of misinformation. Parasocial trust can amplify false claims; Moran, Swan, and  Agajanian (<xref ref-type="bibr" rid="ref173980">2024</xref>) documented how wellness influencers on Instagram used the appearance of  relatable, personal storytelling to spread anti vaccine and alternative health misinformation while  directly profiting from the products and services they promoted alongside it, as followers  extended to these influencers a credibility typically reserved for personal acquaintances.</p><p>Promotion of unrealistic standards. Curated and filtered content contributes to body  dissatisfaction, particularly among young women, by establishing appearance standards that are  difficult or impossible to attain (de Valle, Gallego-García, Williamson, &amp; Wade, 2021); high profile figures such as members of the Kardashian family derive substantial commercial benefit  from this dynamic.</p>
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<sec id="sec-17"><title>Vulnerable Populations</title></sec><p>Susceptibility to these mechanisms is not uniform across the population. A substantial and long running research tradition, distinct from the process focused account developed in this paper,  addresses this individual differences question directly: the absorption addiction model of  celebrity worship (McCutcheon, Lange, &amp; Houran, <xref ref-type="bibr" rid="ref173979">2002</xref>) proposes that a compromised sense of personal identity leads some individuals to become psychologically absorbed in a favored  celebrity&apos;s life as a substitute source of identity and fulfilment, with this absorption taking on  addictive qualities that drive escalating attachment. Using the resulting Celebrity Attitude Scale,  this line of work identifies a trait like disposition toward parasocial over attachment:  McCutcheon, Ashe, Houran, and Maltby (<xref ref-type="bibr" rid="ref173977">2003</xref>) find that individuals scoring highest on the most  intense, borderline pathological dimension of celebrity worship show measurable deficits in  cognitive flexibility and associative learning relative to lower scoring individuals, while Maltby,  Houran, and McCutcheon (<xref ref-type="bibr" rid="ref173977">2003</xref>) link this same dimension to poorer psychological wellbeing.  Where the compounding loyalty model proposed in this paper describes a sequence of  mechanisms that can operate within any follower confronted with disconfirming evidence, the  absorption addiction literature instead identifies a stable subset of individuals for whom  parasocial attachment is elevated and more resistant to correction from the outset, a trait level  vulnerability that would be expected to accelerate entry into the sequence described in Section  1.1 and to deepen engagement with its later stages, particularly parasocial bonding and social  identity, without itself constituting an alternative explanation for the sequence. Individuals  exhibiting patterns consistent with compulsive social networking use, who derive reinforcement  from engagement metrics such as likes and comments, similarly show reduced critical scrutiny of  online content (Kuss &amp; Griffiths, <xref ref-type="bibr" rid="ref173975">2017</xref>). Younger users are of particular concern. Appearance  related social media use is associated with body image concerns among young women, and this  relationship is mediated by the tendency to compare one&apos;s own appearance with the images  encountered (Fardouly, Diedrichs, Vartanian, &amp; Halliwell, <xref ref-type="bibr" rid="ref173968">2015</xref>). In meta-analyses of  experimental and longitudinal evidence, de Valle, Gallego-García, Williamson, and Wade (<xref ref-type="bibr" rid="ref173965">2021</xref>)  confirm that exposure to appearance ideal social media imagery has a detrimental effect on body  image, and that appearance ideal content is more damaging than other appearance related  content. Younger audiences are therefore doubly exposed: to the idealized standards influencers  project, and to the commercial claims attached to them.</p>
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<sec id="sec-19"><title>Synthesis: The Compounding Loyalty Model</title></sec><p>The preceding sections established that five mechanisms, cognitive dissonance, parasocial  bonding, the halo effect, social identity, and just-world reasoning, each independently support  influencer loyalty. Prior research has largely stopped at this point, establishing that a given  mechanism matters within a single study designed around that mechanism alone (e.g., Sokolova  &amp; Kefi, 2020, on parasocial interaction; Eisend et al., <xref ref-type="bibr" rid="ref173966">2020</xref>, on disclosure and the halo effect).  Treated this way, the five mechanisms function as a list of alternative explanations, and the  natural next empirical question becomes which one explains the most variance, a question  several of the studies cited above implicitly treat as central.</p><p>We believe that this perspective underestimates the reality of what is going on. The mechanisms  are not alternative explanations of the same result, but rather consecutive steps in one process,  and are not additive in their explanatory power. Whereas cognitive dissonance is the starting  point of the sequence and creates the motivation to rationalize, parasocial bonding increases the  emotional involvement in rationalizing, the halo effect provides the content, social identity  transforms this into a public commitment to rationalizing, and just-world reasoning provides the  general purpose justification, requiring no interaction with the specific evidence. Each stage does  not just add additional explanatory power to the others, it alters the psychological landscape on  which the next stage functions, thereby making the next stage more effective than it would be if  it was not in the context of the other stages. What makes this compounding structure different  from a merely additive structure is that a single fact checking might have the same effect against  dissonance alone as against para-social bonding alone, but it does not have as big an impact as it  would if the follower had no other reason to hold the attitude besides dissonance, as it does when  the attitude has been converted into an emotional commitment. Each of the five rows in Table 1  represents a summarized description of a mechanism, the underlying cognitive or affective  process, and the effect on follower loyalty (as well as an example). The compounding claim of  the present description is that these five rows are to be read in an ordered sequence, and not as a  flat list.</p>
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<table-wrap id="table1"><label>Table 1</label><caption><title>The psychological mechanisms that maintain loyalty to misleading influencers in the order of their appearance in the compounding sequence.</title></caption><table><tbody><tr><td><bold>Mechanism  </bold></td><td><bold>Cognitive/Emotion al Process </bold></td><td><bold>Effect on Loyalty  </bold></td><td><bold>Illustrative Example </bold></td></tr><tr><td>Cognitive dissonance</td><td>Rationalizing away  evidence of   wrongdoing</td><td>Loyalty persists  despite disconfirming   evidence</td><td>Dismissing a staged  giveaway as normal  marketing</td></tr><tr><td>Parasocial bonding</td><td>Influencer is   experienced as a   personal relationship</td><td>Followers defend  the influencer as  they would a friend</td><td>Continued purchase of  a fitness influencer&apos;s program</td></tr><tr><td>Halo effect /   attractiveness bias</td><td>Physical or aesthetic  appeal is inferred as  trustworthiness</td><td>Dubious claims are  overlooked</td><td>Uncritical acceptance  of a celebrity endorsed  product</td></tr><tr><td>Social identity</td><td>Criticism of the   influencer is   experienced as an   attack on the in group</td><td>Fans mobilize to  defend the   influencer publicly</td><td>Coordinated fan   defense of a YouTuber  on social media</td></tr><tr><td>Just-world hypothesis</td><td>Success is assumed to  be earned</td><td>Evidence of fraud  is minimized or   ignored</td><td>Attributing a public  figure&apos;s wealth to merit  prior to a fraud conviction</td></tr><tr><td>Individual   vulnerability factors</td><td>Validation seeking or  compulsive   engagement patterns</td><td>Intensified   attachment to   influencer figures</td><td>Adolescent users&apos;   heightened engagement  with idealized content</td></tr></tbody></table></table-wrap>
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<p>This account makes a prediction that is specific and falsifiable one that is different from a mere  list of independent mechanisms: If the compounding model is correct, a particular intervention  that targets an early stage mechanism, for example, a fact check aimed at cognitive dissonance,  should be less effective the more a given case has already been processed through the sequence  of mechanisms, that is, the stronger the parasocial bonding and social identity have already been  activated. In contrast, a purely additive model makes no prediction of such interaction; the  contribution each mechanism can make to loyalty should be independent and constant  throughout the sequence. The experimental design outlined in Section 11 is designed to resolve  these two accounts head on.</p>
<sec id="sec-23">
<sec id="sec-22"><title>Discussion</title></sec><p>This paper explores the phenomenon of following and how even the first author, as a follower, is  still following influencers despite the evidence of their deception. The results suggest a complex  cluster of mental and emotional distortions rather than one single explanation as to how the  loyalty is maintained despite clear disconfirming evidence.</p>
</sec>
<sec id="sec-25">
<sec id="sec-24"><title>The Compounding Sequence in Practice</title></sec><p>In Section 1.1 we proposed that the five mechanisms operate in succession, each reducing the  resistance that the next encounters this was rearranged and formalised as a falsifiable claim in  Section 10.1, separate from the list of independent biases. We have documented some of the  cases throughout this paper and these are intended to be walked through in sequence and not as a  catalogue. The sequence begins with cognitive dissonance (Festinger, <xref ref-type="bibr" rid="ref173970">1957</xref>), when the followers  of James Charles were faced with the 2021 skincare controversy, the discomfort was solved by  rationalization as the reappraisal of the situation could have been seen as a loss of personal  identity, but this rationalization, by itself, was not strong enough and it was just one well  documented case of deception. What prevented it from falling apart was the second stage,  parasocial attachment (Horton &amp; Wohl, <xref ref-type="bibr" rid="ref173973">1956</xref>). As fitness influencers are not actual people, but  rather props and props that perform a certain role, it becomes easier for them to substitute actual  personal closeness with a pattern that can be documented by Sokolova and Perez (<xref ref-type="bibr" rid="ref173983">2021</xref>), where  parasocial closeness towards fitness influencers facilitates continued engagement regardless of  the accuracy of the fitness influencer&apos;s claims, and the pattern is also more emotionally defended  because followers are willing to forgive the fitness influencer for replacing actual personal  closeness with patterned. The halo effect (Thorndike <xref ref-type="bibr" rid="ref173985">1920</xref>) then provides that defended  rationalization with content and attractiveness is interpreted as evidence that the disconfirming  claim must have been an aberration, as Kim Kardashian&apos;s ongoing commercial success despite  controversy (Ohanian <xref ref-type="bibr" rid="ref173981">1990</xref>) demonstrates. Social identity processes (Tajfel and Turner, <xref ref-type="bibr" rid="ref173984">1979</xref>)  shift this rationalization from the private to the public sphere, and embeds followers within  influencers like Logan Paul, making it harder for them to turn against the influencer than against  their &quot;fans,&quot; driving up the social cost of doing so beyond the follower&apos;s private cost benefit  analysis. Finally, the just world hypothesis (Lerner, <xref ref-type="bibr" rid="ref173976">1980</xref>) completes the round: the need to  challenge the specifics of the evidence of Hushpuppi&apos;s fraud is not required of followers, just that  to assume, in a general and low effort way, that his visible wealth must have been earned, and  that anything wrong with it must be discovered and sanctioned by the systems in place would be  sufficient. These five cases do not represent five different reasons for loyalty, but instead are five  stages in a process which makes the next mechanism that has to work a little more difficult. The continual and interactive nature of social media further increases this structure: a traditional  celebrity endorsement would only involve a few direct interactions, whereas influencer  marketing is characterised by ongoing parasocial bonding, which is supposed to increase the  flow of emotions at the exact moment, which is supposed to be challenging.</p>
</sec>
<sec id="sec-27">
<sec id="sec-26"><title>Theoretical and Empirical Alignment</title></sec><p>These findings extend classical celebrity endorsement research to the distinctive dynamics of  social media, and clarify why that literature&apos;s mechanism by mechanism structure has not  previously produced a unified account. Erdogan (<xref ref-type="bibr" rid="ref173967">1999</xref>) established that celebrity endorsement  leverages perceived credibility and attractiveness; influencer marketing intensifies this effect  through direct, ongoing personal engagement. Sokolova and Kefi (<xref ref-type="bibr" rid="ref173982">2020</xref>) found that perceived  authenticity and parasocial interaction are key drivers of purchase intention among Instagram  and YouTube followers, even when underlying claims are unsubstantiated, a finding our model  reframes as evidence for the second stage of the sequence rather than a standalone effect, as in  the 2019 TanaCon controversy, where the halo effect (stage three) plausibly built directly on preexisting parasocial trust rather than operating independently of it. Chou, Gaysynsky, and  Cappella (<xref ref-type="bibr" rid="ref173964">2020</xref>) further argue that health misinformation circulating on social media exploits  both cognitive dissonance and just-world reasoning to sustain audience engagement, a pairing of  an early stage and a late stage mechanism that the compounding model predicts should cooccur,  since the two are not substitutes for each other but successive links in the same chain. Moran,  Swan, and Agajanian (<xref ref-type="bibr" rid="ref173980">2024</xref>) demonstrate that wellness influencers&apos; parasocial closeness with  followers facilitated the spread of anti-vaccine and alternative health misinformation for direct  profit, consistent with parasocial bonding&apos;s proposed role in converting an initially fragile  rationalization into a durable one. Taken together, this literature is more often cited as separate  demonstrations of separate biases; the compounding model proposed here offers a way to read it  instead as converging evidence for stages of a single underlying process, producing a self-reinforcing cycle in which loyalty sustains engagement and engagement, in turn, deepens loyalty.</p><p>Implications for Media Literacy, Marketing Ethics, and Policy</p><p>These findings carry several practical implications. First, media literacy interventions should  move beyond generic critical thinking instruction to address the specific psychological  mechanisms identified here. Given evidence that the appearance of ideal social media content has a  measurable detrimental effect on body image, particularly among young women (de Valle et al.,  2021), targeted programming, for example, exercises that help users distinguish parasocial  closeness from genuine relationships, may be more effective than general literacy instruction  alone. Structured exercises simulating the identification of undisclosed sponsorships could help  counter cognitive dissonance driven rationalization by normalizing fact-checking as a routine  practice, and should also aim to strengthen users&apos; confidence in their own independent judgment.</p><p>Second, these dynamics have ramifications for marketing ethics. The use of parasocial trust and  related biases could provide a quick boost to the bottom line but would come with long-term  reputational and regulatory risks. While the guidelines for endorsing sponsored content by the  U.S. Federal Trade Commission (FTC) (2023) clearly state that disclosure is required, there is  still poor adherence to this rule; brands and platforms should better enforce disclosure  requirements. Third, these findings bear on platform governance. Policymakers may want to make  a more consistent effort to identify unverified claims, similar to the &quot;community notes&quot; style  features already available on platforms. Eisend, van Reijmersdal, Boerman and Tarrahi (<xref ref-type="bibr" rid="ref173966">2020</xref>)  conducted a meta-analysis of sponsorship disclosure studies and reported that disclosure is a  highly effective way of increasing the recognition of persuasive intent, but the impact on trust  and subsequent purchase behaviour is less consistent and depends upon the timing, modality and  source of disclosure, meaning that disclosure related policy measures can be effective, but are  not necessarily enough. On a more social level, unrealistic body standards set by influencers (de  Valle et al., 2021), due to their parasocial trust, are linked to mental health issues, specifically for  young women; health misinformation shared by influencers (Moran, Swan, &amp; Agajanian, <xref ref-type="bibr" rid="ref173980">2024</xref>)  has implications for public health outcomes more broadly. Cultural change, alongside regulatory,  will likely be necessary to solve these ramifications, with more critical engagement with  influencer content becoming the norm.</p>
</sec>
<sec id="sec-29">
<sec id="sec-28"><title>Limitations</title></sec><p>This paper has several limitations. It relies on secondary sources and existing empirical literature  rather than original data collection; while this approach allows the argument to be grounded in  established findings, it does not provide the granularity that primary research, for example, a  survey of platform specific loyalty patterns, would offer. The reflexive account included to  illustrate the analysis reflects a single individual&apos;s experience and cannot be assumed to  generalise; many social media users have not experienced comparable episodes. The evidence  base is also predominantly drawn from Western contexts (e.g., James Charles, Hushpuppi); Han  and Balabanis&apos;s (2024) meta-analysis of social media influencer research notes that cultural and  platform-specific moderators of influencer effectiveness remain under examined, so the extent to  which the loyalty dynamics described here generalize to markets such as China or South Korea is  currently an open question rather than an established finding. Finally, gender specific patterns  beyond body image remain under explored; for example, it is unclear whether men are  differentially susceptible to just-world reasoning in the context of financial or cryptocurrency  related influencers relative to women. These limitations constrain the generalizability of the  present analysis and point to clear directions for future research.</p>
</sec>
<sec id="sec-31">
<sec id="sec-30"><title>Future Research</title></sec><p>The present analysis is synthetic rather than empirical, and several lines of primary research  would substantially strengthen, qualify, or falsify its conclusions. The most direct priority is a  test of the compounding loyalty model itself; we outline that design first, followed by four  further strands.</p><p>Testing the compounding model directly. Section 9 derives a specific prediction: an intervention  targeting an early stage mechanism (cognitive dissonance) should lose effectiveness as later  stage mechanisms (parasocial bonding, social identity) become more strongly engaged, whereas  a purely additive account predicts no such interaction. This could be tested with a between  subjects design that first measures or manipulates participants&apos; existing parasocial attachment and  identity fusion with a given influencer (low vs. high, using established scales), then exposes all  participants to an identical dissonance inducing correction (a documented instance of the  influencer&apos;s deception), and measures post correction belief revision as the outcome. The  compounding model predicts that there will be a significant interaction, correction effectiveness  should be significantly less in the high attachment condition, and a strictly additive model  predicts there will be a main effect for the correction but no interaction. A secondary design  could test the sequence order itself, by experimentally comparing the effects of disrupting the  latter stage of the mechanism (e.g., a correction and an in-group identity appeal) to disrupting an  early stage mechanism (e.g., a correction) to determine whether disrupting a later stage of the  mechanism produces larger gains than repeating the early stage of the mechanism, as the model  predicts.</p><p>Experimental designs for disclosure and warning interventions. Here are the mechanisms  identified, which generate further directly testable hypotheses beyond the compounding  prediction above. The presence of the cognitive dissonance effect should lead to rationalization  of influencer misbehaviour, and explicit warning labels or regulatory status disclaimers on  sponsored content should measurably lessen that rationalization, which could be controlled in a  between subjects design with a warning label versus an unlabelled label. In a pair of pre-registered experiments, Bachmann and Valenzuela (<xref ref-type="bibr" rid="ref173963">2023</xref>) demonstrated that, while fact-checks  significantly reduced misperceptions, they also significantly decreased people&apos;s trust in the news  media and their perceptions of media bias, which has not yet been explored in influencer  contexts. This makes this an interesting testable question about influencer marketing: Do  corrections to influencer claims come at the cost of a more generalized loss of trust, or does  repeated exposure to them lead to habituation? Similar designs might include controlling for the  content of the message while varying its attractiveness or apparent production quality in order to  judge the respective role of the perceived attractiveness of the message and the parasocial  closeness.</p><p>Longitudinal and scandal response designs. The present account cannot comment on change of  loyalty over time, or in the face of repeated evidence of wrongdoing, as the present account is  based on cross sectional case examples. Panel studies examining changes in individual followers&apos;  parasocial attachment and identity fusion over time before and after a scandal would enable  researchers examine whether attachment to the celebrity wanes over time, drops precipitously  and then rises back up or remains relatively unchanged except for a smaller portion of the  audience. The design that would be very informative and informative would be if you followed  the twists and turns of a second, independent scandal for an influencer, so that you could directly  test the hypothesis that pre rationalization will reduce or increase the bar set for eventual  &quot;disengagement&quot;.</p><p>Cross cultural replication. The sources of the empirical literature summarized here are largely  from Western and mainly Anglophone locations. Han and Balabanis&apos;s (2024) meta-analysis of  influencer research reveals source credibility and parasocial interaction as the two most  prominent explanatory frameworks in the domain, respectively, along with a range of other  moderators that are significantly under researched in the field of influencer research, such as  cultural and platform specific factors. A social identity driven notion of defence and a lack of  responsiveness to individualised fact-checking interventions is likely to be greater among  followers of influencers from more collectivist cultural contexts (e.g., China, South Korea, or  Southeast Asian countries) than among followers from more individualist cultural contexts (e.g.,  the United States or the United Kingdom), which leads to the following comparative hypothesis:  followers from more collectivist cultural contexts are more likely to exhibit social identity driven  defence and less likely to be responsive to individualized fact-checking interventions when  compared with followers from more individualist cultural contexts. It would be difficult to test  because there would need to be two sets of data one for WeChat or Xiaohongshu, and another for  Instagram and TikTok, each in a similarly distinct cultural and regulatory landscape, and each  measured by comparable loyalty and disengagement metrics.</p><p>Individual differences and computational approaches. Considering the elements that would  predict resistance to disconfirming evidence could be further narrowed down through survey and  experimental studies, building on the earlier research on appearance comparison tendency  (Fardouly et al., <xref ref-type="bibr" rid="ref173968">2015</xref>) and into the field of loyalty &amp; disengagement. Separately, the growth of  large-scale platform data creates an opportunity for computational approaches: analyses of  engagement metrics, comment sentiment, and follower retention curves before and after  documented controversies could test at scale whether the loyalty patterns described qualitatively  here are visible in behavioural data, and whether they vary systematically by influencer niche  (beauty, fitness, finance) or audience demographic.</p><p>Neurocognitive mechanisms. Finally, integrating neuroscientific methods, for instance functional  imaging of reward related activity during influencer engagement, could help clarify whether the  reinforcement patterns implicated in social media use more broadly (Kuss &amp; Griffiths, <xref ref-type="bibr" rid="ref173975">2017</xref>)  share a common neural basis with the loyalty effects described here, or whether parasocial  attachment recruits distinct affective circuitry. This work would be more exploratory than the  designs above, but could ultimately help distinguish loyalty that is primarily belief based  (sustained by rationalization) from loyalty that is primarily reward based (sustained by habitual  engagement), a distinction with different implications for intervention design.</p>
</sec>
<sec id="sec-33">
<sec id="sec-32"><title>Conclusion</title></sec><p>The aim of this paper was to investigate the question of why followers persist in defending  influencers who have been revealed to be deceitful, and not stop after the evidence has been  brought to light. The compounding loyalty model is the answer that emerges here: None of the  other models discussed would explain all of the behaviours observed in the study alone, and the  five models analysed are not all alternative explanations for each other but are rather a series of  stages, with each one reducing the resistance faced by the next one.</p><p>Cognitive dissonance provides the motivation to rationalize; parasocial bonding provides the  emotional motivation, and the need to rationalize, to continue to trust; the halo effect provides a  superficial basis to continue to trust; social identity provides a social motivation to accept that  personal loyalty leads to group loyalty, because the cost of breaking loyalty is higher than it is to  the group; and the just-world hypothesis provides a motivation to doubt that the deception ever  took place. It is not any one of these biases, but rather this sequence, each stage constraining the  next mechanism required to meet the need, that yields the durability seen in cases like James  Charles and Hushpuppi, not any list of contributing biases.</p><p>This has a practical corollary, and one of the compounding framings makes sharper than a simple  list would. Interventions that affect a single mechanism, a single fact-check or a single disclosure  label will be only partially effective not just because other mechanisms can be left to take up the  belief by the time the intervention comes, but because these other mechanisms will have  absorbed and re-anchored the belief by then, which is just the interaction effect that was  predicted in Section 9 and specified for testing in Section 11. The implication for practice is that  effective countermeasures will require multiple and sequential strategies strategies that include  disclosure, as well as strategies for fact checking and strategies for media literacy that explicitly  identify Para social attachment and in-group loyalty as psychological phenomena, not simply act  as generic critical thinking skills that will &quot;transfer&quot; to content from influencers.</p><p>More bodily, the persistence of this loyalty is not best understood as a failure of individual  judgement. The mechanisms reviewed here dissonance reduction, attachment, identity protection,  and belief in a just world are commonplace mechanisms of cognition with adaptive functions in  other domains of social interaction, and they are merely provided with a particularly high  frequency and a particularly personalized array of opportunities in social media environments  that unfold in opposition to the interests of their followers. Considering the issue of influencer  loyalty in such terms as the inevitable byproduct of familiar psychological dynamics in a new  setting, not as duplicity could prove a valuable corrective as well: It shifts the focus from  &quot;critical thinking&quot; to the platform design and regulatory system, while leaving duplicity  untouched; it also provides researchers, educators, and policymakers with a more manageable set  of levers, and a testable model to test them against, than it does with &quot;critical thinking&quot; alone.</p><p><break/></p>
</sec>
</body>
<back>
<fn-group content-type="conflict-of-interest">
  <title>Conflict of Interest</title>
  <fn fn-type="conflict">
<p>The authors declare that they have no conflicts of interest.</p>
  </fn>
</fn-group>
<fn-group content-type="ethics-statement">
  <title>Ethics Statement</title>
  <fn fn-type="ethics">
<p>This study did not require formal ethics approval.</p>
  </fn>
</fn-group>
<fn-group content-type="data-availability">
  <title>Data Availability</title>
  <fn fn-type="data-availability-statement">
<p>Data sharing is not applicable to this article.</p>
  </fn>
</fn-group>
<app-group>
  <app id="app-suppl">
    <title>Supplementary Materials</title>
<supplementary-material id="suppl-pdf" content-type="pdf" xlink:href="https://gssrjournal.com/pdf/gssr/QHYoXRfLfC.pdf">
  <label>PDF</label>
  <caption>
    <title>Full Text PDF</title>
  </caption>
</supplementary-material>
  </app>
</app-group>
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