Affective Information Processing of Fake News: Evidence from NeuroIS

Lutz, Bernhard; Adam, Marc T. P.; Feuerriegel, Stefan; Pröllochs, Nicolas; Neumann, Dirk

doi:10.1007/978-3-030-28144-1_13

Cited by 17 publications

(19 citation statements)

References 28 publications

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“…This has been previously confirmed, e. g., for retweet dynamics (Stieglitz and Dang-Xuan 2013;Kim and Yoo 2012). Psychological research (Lutz et al 2020) suggests that social media users rely primarily on affective information processing (rather than cognitive processing). As such, emotions are important drivers of online behavior (Zollo et al 2015;Brady et al 2017;Pröllochs, Bär, and Feuerriegel 2021a;Robertson et al 2022;Solovev and Pröllochs 2022;Pröllochs, Bär, and Feuerriegel 2021b).…”

Section: Dynamics Of Online Emotionssupporting

confidence: 61%

Online Emotions During the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler

Jakubik¹,

Vössing²,

Bär³

et al. 2022

Preprint

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The storming of the U.S. Capitol on January 6, 2021 has led to the killing of 5 people and is widely regarded as an attack on democracy. The storming was largely coordinated through social media networks such as Twitter and "Parler". Yet little is known regarding how users interacted on Parler during the storming of the Capitol. In this work, we examine the emotion dynamics on Parler during the storming with regard to heterogeneity across time and users. For this, we segment the user base into different groups (e.g., Trump supporters and QAnon supporters). We use affective computing to infer the emotions in content, thereby allowing us to provide a comprehensive assessment of online emotions. Our evaluation is based on a large-scale dataset from Parler, comprising of 717,300 posts from 144,003 users. We find that the user base responded to the storming of the Capitol with an overall negative sentiment. Akin to this, Trump supporters also expressed a negative sentiment and high levels of unbelief. In contrast to that, QAnon supporters did not express a more negative sentiment during the storming. We further provide a cross-platform analysis and compare the emotion dynamics on Parler and Twitter. Our findings point at a comparatively less negative response to the incidents on Parler compared to Twitter accompanied by higher levels of disapproval and outrage. Our contribution to research is three-fold: (1) We identify online emotions that were characteristic of the storming;(2) we assess emotion dynamics across different user groups on Parler; (3) we compare the emotion dynamics on Parler and Twitter. Thereby, our work offers important implications for actively managing online emotions to prevent similar incidents in the future.

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Section: Dynamics Of Online Emotionssupporting

confidence: 61%

Online Emotions During the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler

Jakubik¹,

Vössing²,

Bär³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Interestingly, against our expectations, a simple denial performed significantly better than an elaborate denial (in which extra details of the original news report were provided) in all outcome variables of interest. This reflects a dynamic of information processing in play, which highlights how individuals typically process a limited amount of content based on their finite span of short-term memory and limited attention span (Lutz et al, 2020); if an individual is given more information than they can process within these resources—such as in this instance, additional details of the news report that they may not find particularly gripping—their ability to process and retain that information becomes greatly reduced. This also follows research by Lorenz-Spreen et al (2019), who find that decreasing attention spans over past decades can have implications on the spread and effects of misinformation.…”

Section: Discussionmentioning

confidence: 99%

Fighting Fire With Fire? Relegitimizing Strategies for Media Institutions Faced With Unwarranted “Fake News” Accusations

Neo

2022

Social Media + Society

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Empirical accounts point to the increasing weaponization of the “fake news” label—or unwarranted fake news accusations—by politicians to deflect critical reporting and delegitimize media outlets and achieve political ends. While research has begun unpacking the implications of such attacks, little attention has been paid toward avenues to counter them. Drawing upon the literature on misinformation and crisis management research and through an experimental survey ( n = 1,460), this study explores strategies that media outlets can employ to protect themselves against unwarranted “fake news” accusations—specifically through various denial and attack responses. Results show that denial strategies significantly increase respondents’ belief in the initial critical report, increase support of the media while conversely decreasing support of the politician. While variants of more offensive attack strategies also led to these anticipated effects, simple denials were found to be more effective in protecting the legitimacy of the media outlet. This suggests that such strategies can constitute a simple first-level measure through which institutions can undertake to challenge unfounded fake news accusations.

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“…Daya pikir analitik ditemukan berkorelasi dengan tingkat akurasi dalam menilai berita, walaupun pembaca memiliki ideologi yang mempengaruhi cara pandangnya . Pemrosesan informasi berita palsu ditemukan memiliki hubungan kausal dengan sistem afektif yang melibatkan sistem saraf simpatetik dan parasimpatetik, sementara sistem atensi yang diindikasikan oleh titik pandangan memiliki pola tertentu ketika mengklasifikasi berita palsu (Lutz et al, 2020). Kepercayaan seseorang terhadap berita palsu adalah hasil proses kognitif, khususnya daya pikir analitik, yang dapat terdistraksi oleh impak afektif yang mempersuasikan respon emosional pembaca.…”

Section: Pendahuluanunclassified

MENGINTROSPEKSIKAN KEMUNCULAN DAN SIFAT ALAMI BERITA PALSU SEBAGAI GENRE DENGAN PARAMETER TEKSTUAL: PEMROSESAN TEKS SEMIOTIKA KOGNITIF (Introspecting the Emergence and Nature of Fake News as A Genre with Textual Parameter: Cognitive Semiotics Text Processing)

Muwaffaq

Piantari

2022

SAWERIGADING

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This paper theorizes the relationship of fake news with socio-textual dynamics, text parameters, and intentionality. Introspection was applied to analyze 57 texts reported as fake news on April 2020 and June 2020 by the Indonesian Ministry of Communication and Informatics. Forwarded Whatsapp messages and a frequently downloaded and spread video were also introspected. This paper proposes a few hypothetical arguments (1) fake news is a genre that emerges from socio-textual dynamics whose development entails social acceptance and rejection of a precedent genre that will be coined as "rumor news", (2) textuality of both rumour news consists of linguistic and non-linguistic elements that are likely to activate news event frame upon reading the text, which may arguably have the attention-grabbing effect that distracts readers analytical capacity crucial for critical thinking, (3) the parametrical differences between rumour news and fake news illustrate the dynamic of genre, text, and social situation of both texts, suggesting their development and stability as two different text-types, and (4) in anonymity, rumour news creator violates the semantic and pragmatic principle of illocutionary acts with deceptive intent and the use of profound utterance while disposing naïve propagator to bear responsibility for the fabrication given in fake news.

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Affective Information Processing of Fake News: Evidence from NeuroIS

Cited by 17 publications

References 28 publications

Online Emotions During the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler

Online Emotions During the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler

Fighting Fire With Fire? Relegitimizing Strategies for Media Institutions Faced With Unwarranted “Fake News” Accusations

MENGINTROSPEKSIKAN KEMUNCULAN DAN SIFAT ALAMI BERITA PALSU SEBAGAI GENRE DENGAN PARAMETER TEKSTUAL: PEMROSESAN TEKS SEMIOTIKA KOGNITIF (Introspecting the Emergence and Nature of Fake News as A Genre with Textual Parameter: Cognitive Semiotics Text Processing)

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