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1718541 Vol 9 · Issue 12 Download Paper

Emotions, Engagement, and Trust: Rethinking News Credibility and Misinformation Sharing on Social Media in India

Arpita Mohanty Dr. Jesus Milton Rousseau S.

Subject area: Science,Engineering and Technology  ·  Area of research: Emotions, Engagement, and Trust

DOI: 10.64388/IREV9I12-1718541

Abstract

The study offers a comprehensive analysis of how emotions, engagement, and trust influence news credibility and misinformation sharing among social media users in India. As digital platforms continue to dominate news consumption, social media users are increasingly exposed to emotionally driven and highly engaging content, making misinformation a growing concern in online communication. This research examines how factors such as emotional reactions, repeated exposure, social validation, and trust in online sources shape users’ belief in and sharing of news content. A mixed method research design was employed for the study, combining both quantitative and qualitative approaches to understand user behaviour in greater depth. Data was collected through a structured survey questionnaire distributed using non probability sampling techniques, generating a total of 123 valid responses for analysis. Statistical tools such as percentage analysis were used to interpret the quantitative findings, while qualitative interpretation helped explain behavioural patterns and user perceptions. The findings reveal that emotions, viral engagement, and social influence significantly affect news credibility and increase the likelihood of misinformation sharing on social media platforms.

Keywords

Social Media, Misinformation, News Credibility, Digital Trust, Emotional Influence, User Engagement, Information Sharing

References

[1] Adeeb, R., & Mirhoseini, M. (2023, December 6). The impact of affect on the perception of fake news on social media: A systematic review. Social Sciences. https://www.mdpi.com/2076- 0760/12/12/674/xml

[2] Ahmed, S., Masood, M., & Bee, A. W. T. (2025, February). Believing the untrue: How social media, sexism, and structural gender inequality influence misinformation about women politicians. Journalism & Mass Communication Quarterly. https://

[3] Al-Zaman, M. S. (2021). Social media fake news in India. Asian Journal for Public Opinion Research. https://

[4] Avram, M., Micallef, N., Patil, S., & Menczer, F. (2020, May 10). Exposure to social engagement metrics increases vulnerability to misinformation. arXiv. https://arxiv.org/abs/2005.04682

[5] Badrinathan, S., & Chauchard, S. (2024). “I don’t think that’s true, bro!” Social corrections of misinformation in India. The International Journal of Press/Politics. https://journals.sagepub.com/ 612231158770

[6] Bakir, V., & McStay, A. (2018). Fake news and the economy of emotions. Digital Journalism. https://

[7] Brady, W. J., Wills, J. A., Jost, J. T., Tucker, J. A., & Van Bavel, J. J. (2017). Emotion shapes the diffusion of moralized content in social networks. Proceedings of the National Academy of Sciences. https://

[8] Chandra, S., & Pal, J. (2019). Rumors and social media misinformation in India. International Journal of Communication. https://ijoc.org/index.php/ijoc/article/view/1034 1

[9] Cinelli, M., Quattrociocchi, W., Galeazzi, A., et al. (2020). The COVID-19 social media infodemic. Scientific Reports. https://

[10] Del Vicario, M., Bessi, A., Zollo, F., et al. (2016). The spreading of misinformation online. Proceedings of the National Academy of Sciences. https://

[11] Ferrara, E. (2020). What types of COVID-19 conspiracies are populated by Twitter bots? First Monday. https://

[12] 12. Friggeri, A., Adamic, L., Eckles, D., & Cheng, J. (2014). Rumor cascades. Proceedings of the International AAAI Conference on Web and Social Media. https://ojs.aaai.org/index.php/ICWSM/article/vi ew/14508

[13] Ghanem, B., Rosso, P., & Rangel, F. (2019, August 26). An emotional analysis of false information in social media and news articles. arXiv. https://arxiv.org/abs/1908.09951

[14] Guess, A., Nyhan, B., & Reifler, J. (2020). Exposure to untrustworthy websites in the 2016 US election. Nature Human Behaviour. https://

[15] Guess, A. M., Lerner, M., Lyons, B., et al. (2020). A digital media literacy intervention increases discernment between mainstream and false news in the United States and India. Proceedings of the National Academy of Sciences. https://

[16] Karduni, A., Wesslen, R., Markant, D., & Dou, W. (2021, February 25). Images, emotions, and credibility: Effect of emotional facial images on perceptions of news content bias and source credibility in social media. arXiv. https://arxiv.org/abs/2102.13167

[17] Kumar, S., & Shah, N. (2018). False information on web and social media: A survey. arXiv. https://arxiv.org/abs/1804.08559

[18] Lazer, D. M. J., Baum, M. A., Benkler, Y., et al. (2018). The science of fake news. Science. https://

[19] Liu, Z., Zhang, T., Yang, K., Thompson, P., Yu, Z., & Ananiadou, S. (2023, November 1). Emotion detection for misinformation: A review. arXiv. https://arxiv.org/abs/2311.00671

[20] Mena, P. (2020). Cleaning up social media: The effect of warning labels on likelihood of sharing false news. Policy & Internet. https://

How to cite this paper

Arpita Mohanty, Dr. Jesus Milton Rousseau S. "Emotions, Engagement, and Trust: Rethinking News Credibility and Misinformation Sharing on Social Media in India" Iconic Research And Engineering Journals Volume 9 Issue 12 2026 Page 108-124 https://doi.org/10.64388/IREV9I12-1718541
Arpita Mohanty, Dr. Jesus Milton Rousseau S. "Emotions, Engagement, and Trust: Rethinking News Credibility and Misinformation Sharing on Social Media in India" Iconic Research And Engineering Journals, vol. 9, no. 12, Jun. 2026, doi: https://doi.org/10.64388/IREV9I12-1718541
Arpita Mohanty, Dr. Jesus Milton Rousseau S. (2026). Emotions, Engagement, and Trust: Rethinking News Credibility and Misinformation Sharing on Social Media in India. Iconic Research And Engineering Journals, 9(12). doi: https://doi.org/10.64388/IREV9I12-1718541
Arpita Mohanty, Dr. Jesus Milton Rousseau S. "Emotions, Engagement, and Trust: Rethinking News Credibility and Misinformation Sharing on Social Media in India" Iconic Research And Engineering Journals, vol. 9, no. 12, Jun. 2026. Crossref, https://doi.org/10.64388/IREV9I12-1718541
@article{1718541,
      author = {Arpita Mohanty, Dr. Jesus Milton Rousseau S.},
      title = {Emotions, Engagement, and Trust: Rethinking News Credibility and Misinformation Sharing on Social Media in India},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {12},
      pages = {108-124},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1718541.pdf},
      abstract = {The study offers a comprehensive analysis of how emotions, engagement, and trust influence news credibility and misinformation sharing among social media users in India. As digital platforms continue to dominate news consumption, social media users are increasingly exposed to emotionally driven and highly engaging content, making misinformation a growing concern in online communication. This research examines how factors such as emotional reactions, repeated exposure, social validation, and trust in online sources shape users’ belief in and sharing of news content. A mixed method research design was employed for the study, combining both quantitative and qualitative approaches to understand user behaviour in greater depth. Data was collected through a structured survey questionnaire distributed using non probability sampling techniques, generating a total of 123 valid responses for analysis. Statistical tools such as percentage analysis were used to interpret the quantitative findings, while qualitative interpretation helped explain behavioural patterns and user perceptions. The findings reveal that emotions, viral engagement, and social influence significantly affect news credibility and increase the likelihood of misinformation sharing on social media platforms.},
      keywords = {Social Media, Misinformation, News Credibility, Digital Trust, Emotional Influence, User Engagement, Information Sharing},
      month = {June},
      doi = {https://doi.org/10.64388/IREV9I12-1718541}
  }