Combating Online Misinformation Videos: Characterization, Detection, and Future Directions

Yuyan, Bu,; Shen, Qiang; Cao, Juan; Pan, Qi; Danding, Wang,; Li, Jintao

doi:10.1145/3581783.3612426

Cited by 3 publications

(1 citation statement)

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“…Fact-checking tools are one solution that has been introduced to combat the issue of misinformation (Bu et al, 2023). Many fact-checking platforms are available; however, awareness of using fact-checking platforms among people varies, and few of them use these tools (Schuetz et al, 2021).…”

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Examining the Effectiveness of Fact-Checking Tools on Social Media in Reducing the Spread of Misinformation

Alohali

2024

International Journal of E-Adoption

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Misinformation on social media poses a significant threat to individuals and society. This study examines the effectiveness of in-platform fact-checking tools in reducing the spread of misinformation. To this extent an online survey was conducted to assess individuals' awareness of misinformation and fact-checking tools, their behavior toward social media, and how it impacts their exposure to misinformation and the sharing of misinformation. The authors found a concerning reliance on social media as a primary news source, highlighting the need for readily available verification mechanisms. Encouragingly, awareness of misinformation correlated with fact-checking tool use. Participants utilizing fact-checking tools reported encountering less misinformation. Notably, participants with higher education displayed greater concern about misinformation. This study demonstrates the potential of fact-checking tools, particularly among educated individuals, but emphasizes the need for a multi-pronged approach. This includes improved tools, awareness campaigns, critical thinking skill development, and fostering a culture of inquiry.

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Examining the Effectiveness of Fact-Checking Tools on Social Media in Reducing the Spread of Misinformation

Alohali

2024

International Journal of E-Adoption

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Combating misinformation in the age of LLMs: Opportunities and challenges

Chen,

Shu

2024

AI Magazine

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Misinformation such as fake news and rumors is a serious threat for information ecosystems and public trust. The emergence of large language models (LLMs) has great potential to reshape the landscape of combating misinformation. Generally, LLMs can be a double‐edged sword in the fight. On the one hand, LLMs bring promising opportunities for combating misinformation due to their profound world knowledge and strong reasoning abilities. Thus, one emerging question is: can we utilize LLMs to combat misinformation? On the other hand, the critical challenge is that LLMs can be easily leveraged to generate deceptive misinformation at scale. Then, another important question is: how to combat LLM‐generated misinformation? In this paper, we first systematically review the history of combating misinformation before the advent of LLMs. Then we illustrate the current efforts and present an outlook for these two fundamental questions, respectively. The goal of this survey paper is to facilitate the progress of utilizing LLMs for fighting misinformation and call for interdisciplinary efforts from different stakeholders for combating LLM‐generated misinformation.

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Preventing and Detecting Misinformation Generated by Large Language Models

Liu,

Sheng,

2024

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

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Combating Online Misinformation Videos: Characterization, Detection, and Future Directions

Cited by 3 publications

References 50 publications

Examining the Effectiveness of Fact-Checking Tools on Social Media in Reducing the Spread of Misinformation

Examining the Effectiveness of Fact-Checking Tools on Social Media in Reducing the Spread of Misinformation

Combating misinformation in the age of LLMs: Opportunities and challenges

Preventing and Detecting Misinformation Generated by Large Language Models

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