Unraveling the Retweet Dynamics of COVID-19 Vaccines on Twitter: An Investigation Through the Lens of the Health Belief Model DOI
Yanfang Wu

Journalism & Mass Communication Quarterly, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 18, 2025

This study uses the Health Belief Model (HBM) to analyze narrative constructions and sentiments of most retweeted tweets about COVID-19 vaccines. Large-scale data qualitative textual analysis revealed that tweet dissemination is influenced by perceived risks benefits, while format (narrative vs. non-narrative) had no significant effect. Personal stories gained more shares than cultural stories, high-benefit narratives received retweets low-risk ones. Tweets with highly benefits elicited positive sentiments, highlighting implications for effective health communication on social media. Theoretical HBM model crafting intervention messages were discussed.

Language: Английский

GPT is an effective tool for multilingual psychological text analysis DOI Creative Commons
Steve Rathje, Dan-Mircea Mirea, Ilia Sucholutsky

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(34)

Published: Aug. 12, 2024

The social and behavioral sciences have been increasingly using automated text analysis to measure psychological constructs in text. We explore whether GPT, the large-language model (LLM) underlying AI chatbot ChatGPT, can be used as a tool for several languages. Across 15 datasets ( n = 47,925 manually annotated tweets news headlines), we tested different versions of GPT (3.5 Turbo, 4, 4 Turbo) accurately detect (sentiment, discrete emotions, offensiveness, moral foundations) across 12 found that r 0.59 0.77) performed much better than English-language dictionary 0.20 0.30) at detecting judged by manual annotators. nearly well as, sometimes than, top-performing fine-tuned machine learning models. Moreover, GPT’s performance improved successive model, particularly lesser-spoken languages, became less expensive. Overall, may superior many existing methods analysis, since it achieves relatively high accuracy requires no training data, is easy use with simple prompts (e.g., “is this negative?”) little coding experience. provide sample code video tutorial analyzing application programming interface. argue other LLMs help democratize making advanced natural language processing capabilities more accessible, facilitate cross-linguistic research understudied

Language: Английский

Citations

65
Overperception of moral outrage in online social networks inflates beliefs about intergroup hostility DOI
William J. Brady, Killian Lorcan McLoughlin,

Mark P. Torres

et al.

Nature Human Behaviour, Journal Year: 2023, Volume and Issue: 7(6), P. 917 - 927

Published: April 10, 2023

Language: Английский

Citations

45
Algorithm-mediated social learning in online social networks DOI Open Access
William J. Brady, Joshua Conrad Jackson,

Björn Lindström

et al.

Trends in Cognitive Sciences, Journal Year: 2023, Volume and Issue: 27(10), P. 947 - 960

Published: Aug. 3, 2023

Language: Английский

Citations

45
Emotions and Digital Well-Being: on Social Media’s Emotional Affordances DOI Creative Commons
Steffen Steinert, Matthew Dennis

Philosophy & Technology, Journal Year: 2022, Volume and Issue: 35(2)

Published: April 13, 2022

Social media technologies (SMTs) are routinely identified as a strong and pervasive threat to digital well-being (DWB). Extended screen time sessions, chronic distractions via notifications, fragmented workflows have all been blamed on how these ruthlessly undermine our ability exercise quintessential human faculties. One reason SMTs can do this is because they powerfully affect emotions. Nevertheless, (1) social technology affects emotional life (2) emotions relate remain unexplored. Remedying important ethical insights into open the possibility of designing for in ways that actively reinforce well-being. In article, we examine way facilitate online affordances. This has implications evaluating today's platforms, well design future ones.

Language: Английский

Citations

64
People Think That Social Media Platforms Do (but Should Not) Amplify Divisive Content DOI
Steve Rathje, Claire Robertson, William J. Brady

et al.

Perspectives on Psychological Science, Journal Year: 2023, Volume and Issue: 19(5), P. 781 - 795

Published: Sept. 26, 2023

Recent studies have documented the type of content that is most likely to spread widely, or go “viral,” on social media, yet little known about people’s perceptions what goes viral should viral. This critical understand because there widespread debate how improve regulate media algorithms. We recruited a sample participants nationally representative U.S. population (according age, gender, and race/ethnicity) surveyed them their virality ( n = 511). In line with prior research, people believe divisive content, moral outrage, negative high-arousal misinformation are all online. However, they reported this not media. Instead, many forms positive content—such as accurate nuanced educational content—are even though think These were shared among only weakly related political orientation, usage, demographic variables. sum, broad consensus around platforms amplify, which can help inform solutions for improving

Language: Английский

Citations

29
Attitudes toward COVID-19 Vaccination on Social Media: A Cross-Platform Analysis DOI Creative Commons
Dominik Wawrzuta, Justyna Klejdysz, Mariusz Jaworski

et al.

Vaccines, Journal Year: 2022, Volume and Issue: 10(8), P. 1190 - 1190

Published: July 27, 2022

During the COVID-19 pandemic, social media content analysis allowed for tracking attitudes toward newly introduced vaccines. However, current evidence is limited to single platforms. Our objective was compare arguments used by anti-vaxxers in context of vaccines across Facebook, Twitter, Instagram, and TikTok. We obtained data set 53,671 comments regarding vaccination published between August 2021 February 2022. After that, we established categories anti-vaccine content, manually classified comments, compared frequency occurrence found that on use 14 against The these varies different anti-vaxxers' activity Facebook Twitter similar, focusing mainly distrust government allegations safety effectiveness. Anti-vaxxers TikTok focus personal freedom, while Instagram users encouraging often face criticism suggesting a private matter should not be shared. Due differences vaccine sentiment among platforms, future research educational campaigns consider distinctions, more platforms popular adolescents (i.e., TikTok).

Language: Английский

Citations

33
Understanding Environmental Posts: Sentiment and Emotion Analysis of Social Media Data DOI Creative Commons

Daniyar Amangeldi,

Aida Usmanova, Pakizar Shamoi

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 33504 - 33523

Published: Jan. 1, 2024

Social media is now the predominant source of information due to availability immediate public response. As a result, social data has become valuable resource for comprehending sentiments. Studies have shown that it can amplify ideas and influence This study analyzes perception climate change environment over decade from 2014 2023. Using Pointwise Mutual Information (PMI) algorithm, we identify sentiment explore prevailing emotions expressed within environmental tweets across various platforms, namely Twitter, Reddit, YouTube. Accuracy on human-annotated dataset was 0.65, higher than Vader's score but lower an expert rater (0.90). Our findings suggest negative are far more common positive or neutral ones. Climate change, air quality, emissions, plastic, recycling most discussed topics all highlighting its huge global concern. The in fear, trust, anticipation, demonstrating wide complex nature reactions. By identifying patterns trends opinions related environment, hope provide insights help raise awareness regarding issues, inform development interventions, adapt further actions meet challenges.

Language: Английский

Citations

8
Negative online news articles are shared more to social media DOI Creative Commons

Joe C. Watson,

Sander van der Linden,

Michael A. Watson

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 16, 2024

Prior research demonstrates that news-related social media posts using negative language are re-posted more, rewarding users who produce content. We investigate whether material from external news sites is also introduced to through more user posts, offering comparable incentives for journalists adopt a tone. Data four US and UK (95,282 articles) two platforms (579,182,075 on Facebook Twitter, now X) show 1.91 times likely share links articles. The impact of negativity varies by site platform and, political articles, moderated topic focus, with showing greater inclination articles referring opposing groups. Additionally, amplifies dissemination extent when accounting the re-sharing containing article links. These findings suggest higher prevalence negatively toned Twitter compared online sites. Further, should respond created heightened sharing platforms, this could even increase exposure those do not use media.

Language: Английский

Citations

8
The Wonderland model of toxic creativity in leadership: When the “never again” impossible becomes not only possible but actual DOI
Robert J. Sternberg, Arezoo Soleimani Dashtaki, Séamus A. Power

et al.

Possibility Studies & Society, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 2, 2024

We suggest that toxic creative leaders succeed by creating a fantastic future in fantasy world we call “Wonderland.” They make what was thought to be impossible, not only possible but actual. The game is similar board games bring one of the players playing them some wonderful destination at end game. they create, however, an illusion, designed appeal people who feel under-appreciated, disempowered, victimized, deprived material or other resources, need radical change will empower them. creatively are usually underestimated and their overwhelming skills acquiring maintaining power viewed as malleable for powerful people’s purposes. Ultimately, take over up manipulating rather than being manipulated those had sought use own ends. discuss ways can used combat so should have been “never again” stays way—in realm impossibility.

Language: Английский

Citations

7
Left- and Right-Leaning News Organizations Use Negative Emotional Content and Elicit User Engagement Similarly DOI Open Access
Andrea Bellovary, Nathaniel A. Young, Amit Goldenberg

et al.

Affective Science, Journal Year: 2021, Volume and Issue: 2(4), P. 391 - 396

Published: Aug. 16, 2021

Language: Английский

Citations

41