Modeling the Co-evolving Polarization of Opinion and News Propagation Structure in Social Media

Prasetya, Hafizh Adi; Murata, Tsuyoshi

doi:10.1007/978-3-030-05414-4_25

Cited by 6 publications

(6 citation statements)

References 24 publications

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“…, 2020). News bias occurs very often on social media which is becoming increasingly problematic due to polarization (Prasetya and Murata, 2018) and pervasive ambiguity (Wenzel, 2019). This bias tends to lean in favor of the right, especially on platforms like Facebook (Damstra et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Implications of source, content, and style cues in curbing health misinformation and fake news

Ha,

Rahut,

Ofori

et al. 2023

INTR

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PurposeTo provide human judgment input for computer algorithm development, this study examines the relative importance of source, content, and style cues in predicting the truthfulness ratings of two common types of online health information: news stories and institutional news releases.Design/methodology/approachThis study employed a multi-method approach using (1) a manual content analysis of 400 randomly selected online health news stories and news releases from HealthNewsReview.org and (2) an online experiment comparing truthfulness ratings between news stories and news releases.FindingsUsing content analysis, the authors found significant differences in the importance of source, content, and style cues in predicting truthfulness ratings of news stories and news releases: source and style cues predicted truthfulness ratings better than content cues. In the experiment, source credibility was the most important predictor of truthfulness ratings, controlling for individual differences. Experts have higher ratings for news media stories than news releases and lay people have no differences in rating the two news formats.Practical implicationsIt is important for health educators to curb consumer trust in misinformation and increase health information literacy. Rather than solely reporting scientific evidence, educators should focus on addressing cues people use to judge the truthfulness of health information.Originality/valueThis is the first study that directly compares human judgments of health news stories and news releases. Using both the breadth of content analysis and experimental causality testing, the authors evaluate the relative importance of source, content, and style cues in predicting truthfulness ratings.

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Section: Literature Reviewmentioning

confidence: 99%

Implications of source, content, and style cues in curbing health misinformation and fake news

Ha,

Rahut,

Ofori

et al. 2023

INTR

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“…Terdapat 13 provinsi dari 33 provinsi yang mempunyai prevalensi merokok lebih dari rata-rata nasional. (4) Penerbit : Berdasarkan tabel 9 dapat dilihat bahwa dari 74 responden yang memiliki keluarga merokok sebanyak 65 responden (37,1%) diantaranya merokok dan 9 responden (5,1%) yang tidak merokok, sedangkan dari 101 responden yang tidak memiliki keluarga merokok sebanyak 59 responden (33,7%) diantaranya merokok dan 42 responden (24,0%) yang tidak merokok.…”

Section: Pendahuluanunclassified

Analisis Risiko Pada Pekerja Pengelasan (Welding) di PT. Industri Kapal Indonesia (Persero) Kota Makassar

Annisa

Haeruddin

Nurbaety

2021

woph

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Perilaku merokok merupakan perilaku kompleks, yang diawali dan berlanjut, yang disebabkan oleh beberapa variabel yang berbeda, di mana awal perilaku merokok pada umumnya diawali pada saat usia yang masih muda. Penelitian ini bertujuan untuk mengetahui faktor yang mempengaruhi perilaku merokok pada remaja laki-laki di RW 2 Kelurahan Pampang Kota Makasaar Tahun 2020. Penelitian ini merupakan penelitian kuantitatif, dengan pendekatan cross sectional study. Sampel dalam penelitian ini semua populasi remaja di RW 2 Kelurahan Pampang sebanyak 175 responden. Metode analisis data menggunakan uji univariat, uji bivariat dengan uji chi square. Hasil penelitian diperoleh bahwa ada pengaruh lingkungan keluarga terhadap perilaku merokok responden (p=0,000), ada pengaruh teman sebaya terhadap perilaku merokok responden (p=0,000), tidak ada pengaruh iklan terhadap perilaku merokok responden (p=0,112), ada pengaruh kepercayaan diri terhadap perilaku merokok responden (p=0,000), dan ada pengaruh pengetahuan terhadap perilaku merokok responden (p=0,003). Perilaku merokok pada remaja disebabkan oleh model yang ada di lingkungannya atau karena ada tekanan sosial.

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“…This article extends on the initial modeling work done in [56]. In addition to the contents in [56], we explain in more detail the background works and include detailed results of the ablation study on the model's mechanism. Focusing on the effect of network topology which was previously unexplored, results from additional simulations on real Twitter networks are presented.…”

mentioning

confidence: 94%

A model of opinion and propagation structure polarization in social media

Prasetya

Murata

2020

Comput Soc Netw

Self Cite

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Background In recent years, multiple empirical studies have revealed the existence of segregated communities in online social media interaction [4, 7, 9, 14, 18, 39, 73], where likeminded people interact with little exposure to different viewpoints. This phenomenon is commonly referred to as the echo chamber effect. More concretely, the term echo chambers refers to a state where online interactions are conducted in a polarized pattern; within an online social network, there exist groups that correspond to a certain belief (e.g., political left or right), and most interactions happen between users from the same group. A study into the nature of these polarized communities is consequential; echo chambers has been increasingly studied as of late due to its association with significant political events such as Brexit and the surprise win of Donald Trump in the 2016 US election. It is also known to cause significant harms to the process of discussion and democracy [68, 69, 72]. At its worst, echo chambers can limit one's viewpoints, reinforce personal biases, and foster environments where hoaxes and misinformation thrives.

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Modeling the Co-evolving Polarization of Opinion and News Propagation Structure in Social Media

Cited by 6 publications

References 24 publications

Implications of source, content, and style cues in curbing health misinformation and fake news

Implications of source, content, and style cues in curbing health misinformation and fake news

Analisis Risiko Pada Pekerja Pengelasan (Welding) di PT. Industri Kapal Indonesia (Persero) Kota Makassar

A model of opinion and propagation structure polarization in social media

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