Debiasing misinformation: how do people diagnose health recommendations from AI?

Online Information Review, Год журнала: 2024, Номер 48(5), С. 1025 - 1044

Опубликована: Фев. 29, 2024

Purpose This study examined how people assess health information from AI and improve their diagnostic ability to identify misinformation. The proposed model was designed test a cognitive heuristic theory in misinformation discernment. Design/methodology/approach We the heuristic-systematic processing algorithmic context. Using Analysis of Moment Structure (AMOS) 26 software, we tested fairness/transparency/accountability (FAccT) as constructs that influence evaluation systematic discernment by users. To moderating mediating effects, PROCESS Macro Model 4 used. Findings effect AI-generated on people’s perceptions veracity may differ according whether they process heuristically or systematically. Heuristic is significantly associated with diagnosticity There greater chance will be correctly diagnosed checked, if aligns users’ heuristics validated perceive. Research limitations/implications When exposed through recommendations, perceived can predicted accurately understanding normative values. would then positively accuracy credibility Practical implications Perceived exerts key role fostering literacy, implying improving features an efficient way change behavior. Social Although there broad agreement need control combat misinformation, magnitude this problem remains unknown. It essential understand both processes when it comes identifying diffusion mechanism which such framed subsequently spread. Originality/value mechanisms users spread have remained open-ended questions. provides theoretical insights relevant recommendations make firms/institutions alike more resilient protecting themselves detrimental impact Peer review peer history for article available at: https://publons.com/publon/10.1108/OIR-04-2023-0167

Язык: Английский

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Understanding health misinformation sharing among the middle-aged or above in China: roles of social media health information seeking, misperceptions and information processing predispositions

Online Information Review, Год журнала: 2023, Номер 48(2), С. 314 - 333

Опубликована: Июль 26, 2023

Purpose The ballooning health misinformation on social media raises grave concerns. Drawing upon the S-O-R (Stimulus-Organism-Response) model and information processing literature, this study aims to explore (1) how seeking (S) affects sharing intention (R) through channel of misperceptions (O) (2) whether mediation process would be contingent different predispositions. Design/methodology/approach Data were collected from a survey comprising 388 respondents Chinese middle-aged or above group, one China's most susceptible populations misinformation. Standard multiple linear regression models PROCESS Macro adopted examine direct effect moderated model. Findings Results bolstered S-O-R-based mechanism, in which mediated seeking's intention. As an indicator analytical processing, need for cognition (NFC) failed moderate process. Contrarily, faith intuition (FI), reflecting intuitive served as significant moderator. positive association between was stronger among with low FI. Originality/value This sheds light research by bridging seeking, internalization sharing. Moreover, authors extended integrating predispositions, differs previous literature advances extant understanding styles work face online particular age group context further inform context-specific implications regarding regulation. Peer review peer history article is available at: https://publons.com/publon/10.1108/OIR-04-2023-0157 .

Язык: Английский

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Bad robot? The benevolent use of automated software and social bots by influencers in the #antivaxx discourse on Twitter

Online Information Review, Год журнала: 2025, Номер 49(8), С. 44 - 61

Опубликована: Янв. 29, 2025

Purpose Automated social media messaging tactics can undermine trust in health institutions and public advice. As such, we examine automated software programs (ASPs) bots the Twitter anti-vaccine discourse before after release of COVID-19 vaccines. Design/methodology/approach We compare two datasets comprising user accounts associated English-language tweets featuring keywords “#antivaxx” or “anti-vaxx.” The first dataset, from 2018 (pre-COVID vaccine), includes 3,154 6,380 tweets. second comprises 327,067 545,268 published during 12 months following December 1, 2020 (post-COVID vaccine). Using Information Laundering Theory (ILT), were examined manually through analytics machine learning to identify activity, visibility, verification status, vaccine position, ASP bot technology use. Findings post-COVID dataset showed an increase highly probable (31.09%) accounts. However, both dominated by pro-vaccine accounts; most active (59%) visible (50%) classified as pro-vaccine. Originality/value This research is behaviors prevalence mostly benevolent suggests a potential overstatement threat posed using ASPs technologies. By highlighting intermediaries that disseminate pro- content, extend ILT identifying variant offering insights into “pathways” generating mainstream information.

Язык: Английский

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Beyond a fragmented account of conflicts in communication: a framework of informational conflicts

Annals of the International Communication Association, Год журнала: 2025, Номер unknown

Опубликована: Фев. 19, 2025

Abstract Numerous global trends related to communicative conflicts—like widespread public dissent, the increasing fragmentation of digital media landscape, fast-paced dissemination mis- and disinformation, polarization debates, delegitimizing populist rhetoric—form a perfect storm that significantly disrupts today’s society on multiple levels. Against this backdrop, research content, causes, consequences, counter-strategies conflicts has been central discipline communication science beyond over past decades. Although many these societal challenges are rooted in problems similar nature, current lines appear move forward isolation, creating largely disconnected streams could benefit from more integration. With article, we aim bring together strands literature revolve around mass under umbrella term “informational conflict.” This framework synthesizes existing knowledge, enabling us better understand root causes cleavages potential solutions leading conflict resolution.

Язык: Английский

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How effective are fact-checks in Pakistan and who engages with them?

Information Communication & Society, Год журнала: 2025, Номер unknown, С. 1 - 23

Опубликована: Фев. 19, 2025

Язык: Английский

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Linking incidental corrective information exposure to health misinformation correction intention: testing an extended cognitive mediation model

Asian Journal of Communication, Год журнала: 2025, Номер unknown, С. 1 - 22

Опубликована: Март 10, 2025

Язык: Английский

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User correction

Current Opinion in Psychology, Год журнала: 2023, Номер 56, С. 101786 - 101786

Опубликована: Дек. 26, 2023

Язык: Английский

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How about meeting Fernando Pessoa? A journey into hotel brand anthropomorphism and personality on social media

Journal Of Vacation Marketing, Год журнала: 2024, Номер unknown

Опубликована: Март 24, 2024

Competition in the hospitality industry is fierce and hotels need to enhance guest engagement order remain competitive. Building brand anthropomorphism (BA) personality acknowledged as a marketing strategy for achieving this goal. More more, taking place online, with hotels’ social media playing critical role process. However, it that there scarce knowledge on how build BA online settings. Accordingly, research aims at examining implementation of adopting qualitative approach, by focusing study case Lisboa Pessoa Hotel (Portugal) its use purpose. Netnography was applied analysis. Results provide evidence developing are strategies potential increase engagement. As implications, hotel managers recommended attend humanising their brand. This one first examine personalisation through media.

Язык: Английский

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Ethically Motivated or Emotionally Charged? Examining Relationships Among Moral Norms, Anticipated Negative Emotions, and Laypeople’s Online Misinformation Correction Intentions

Mass Communication & Society, Год журнала: 2024, Номер 27(5), С. 1158 - 1187

Опубликована: Март 25, 2024

The extant research on misinformation correction largely emphasizes institutional-approach-based fact-checking practices while underestimating laypeople's potential to correct misinformation. By incorporating anticipated negative emotions into a norm-activation model and conducting an online survey in China, we scrutinized associations between awareness of consequences, personal moral norms, emotions, intention results underscored the distinct roles norms emotions. Moral which were induced by ascription responsibility, can further propel individuals' intent defy authenticate misinformation, whereas did not play any such role. Our study revealed prospective mechanism for engaging laypeople combating signifying importance enhancing sense responsibility toward crucial mediating effects intentions

Язык: Английский

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Investigating users' discontinuous usage intention toward social networking sites: the roles of motivation and affectivity

Online Information Review, Год журнала: 2024, Номер 48(6), С. 1103 - 1120

Опубликована: Апрель 30, 2024

Purpose This study is based on the regulatory focus theory and conservation of resources to examine how information confusion leads users’ discontinuous usage intention social networking sites (SNSs), with mediating mechanisms motivation affectivity. Design/methodology/approach Data were obtained from 270 users in different SNSs Vietnam. Structural equation modeling was used analyze sample data test hypotheses. Findings Results show that has a positive influence intention, prevention positively mediates this relationship. Furthermore, negative affectivity link between intention. In addition, together play serial effect Originality/value extends validate model explains transitional process SNSs. The findings provide implications for academic researchers business managers understand make better decisions retain their users.

Язык: Английский

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