Synthetic lies: Understanding ai-generated misinformation and evaluating algorithmic and human solutions

J Zhou, Y Zhang, Q Luo, AG Parker… - Proceedings of the 2023 …, 2023 - dl.acm.org
Large language models have abilities in creating high-volume human-like texts and can be
used to generate persuasive misinformation. However, the risks remain under-explored. To …

Reviewing interventions to address misinformation: the need to expand our vision beyond an individualistic focus

Z Aghajari, EPS Baumer, D DiFranzo - … of the ACM on Human-Computer …, 2023 - dl.acm.org
Prior work has identified a variety of factors that drive the way people identify and respond to
misinformation. Such factors include confirmation bias, perceived credibility of the …

Why do people share political information and misinformation online? Developing a bottom-up descriptive framework

R Perach, L Joyner, D Husbands… - Social Media+ …, 2023 - journals.sagepub.com
Social media users are key actors in the spreading of misleading or incorrect information. To
develop an integrative parsimonious summary of social media users' own accounts of …

Seeing is believing: Is video modality more powerful in spreading fake news via online messaging apps?

SS Sundar, MD Molina, E Cho - Journal of Computer-Mediated …, 2021 - academic.oup.com
False rumors on WhatsApp, the world's largest messaging app, have led to mob lynching in
India and other countries. Doctored videos sent over the platform have elicited visceral …

[HTML][HTML] The Peru approach against the COVID-19 infodemic: insights and strategies

A Alvarez-Risco, CR Mejia… - The American journal …, 2020 - ncbi.nlm.nih.gov
The COVID-19 epidemic has spawned an “infodemic,” with excessive and unfounded
information that hinders an appropriate public health response. This perspective describes a …

Exploring lightweight interventions at posting time to reduce the sharing of misinformation on social media

F Jahanbakhsh, AX Zhang, AJ Berinsky… - Proceedings of the …, 2021 - dl.acm.org
When users on social media share content without considering its veracity, they may
unwittingly be spreading misinformation. In this work, we investigate the design of …

A taxonomy of fake news classification techniques: Survey and implementation aspects

D Rohera, H Shethna, K Patel, U Thakker… - IEEE …, 2022 - ieeexplore.ieee.org
In the present era, social media platforms such as Facebook, WhatsApp, Twitter, and
Telegram are significant sources of information distribution, and people believe it without …

Practicing information sensibility: how gen Z engages with online information

A Hassoun, I Beacock, S Consolvo… - Proceedings of the …, 2023 - dl.acm.org
Assessing the trustworthiness of information online is complicated. Literacy-based
paradigms are both widely used to help and widely critiqued. We conducted a study with 35 …

MFIR: Multimodal fusion and inconsistency reasoning for explainable fake news detection

L Wu, Y Long, C Gao, Z Wang, Y Zhang - Information Fusion, 2023 - Elsevier
Fake news possesses a destructive and negative impact on our lives. With the rapid growth
of multimodal content in social media communities, multimodal fake news detection has …

Moral emotions shape the virality of COVID-19 misinformation on social media

K Solovev, N Pröllochs - Proceedings of the ACM web conference 2022, 2022 - dl.acm.org
While false rumors pose a threat to the successful overcoming of the COVID-19 pandemic,
an understanding of how rumors diffuse in online social networks is–even for non-crisis …