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Performance of Generative AIs in Detecting Dengue-Related Misinformation: ChatGPT and Google Bard Mahmud, Md. Rifat
The Indonesian Journal of Communication Studies Vol 17, No 1 (2024): The Indonesian Journal of Communication Studies
Publisher : Department of Communication Studies, Faculty of Social and Political Sciences Universitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/ijcs.v17i1.11768

Dengue outbreaks have become a common occurrence in South Asian countries, including Bangladesh. It has caused widespread concern among people from all walks of life. Various misinformation about dengue proliferates among people, mainly through social media platforms. The project was designed to investigate the performance of generative AIs in detecting dengue-related disinformation. In this study, two famous generative AIs were chosen to explore the performance of generative AI in detecting dengue-related misinformation: ChatGPT and Google Bard. These AI platforms were given widely distributed misinformation about dengue and asked to determine whether it was accurate or untrue. False information was identified through content analysis of various stories about the dengue outbreak, particularly those circulating on social media platforms. After getting responses from generative AIs, the answers were cross-checked using fact-checkers and public health databases such as WHO and CDC to determine whether the answers were correct or not. This study examined the performance of three AI systems (ChatGPT and Google Bard) in reacting to ten regularly disseminated misconceptions about dengue, particularly on social networking sites. Based on public health database statements (e.g., WHO, CDC) and fact-checker comments, ChatGPT and Google BARD demonstrated promising outcomes in detecting disinformation and presenting factual information. Dengue outbreaks have become common in developing nations such as Bangladesh, and spreading dengue-related misinformation has become commonplace. While it is known that generative AI systems have inherent limitations and may not always excel at dealing with complex real-world circumstances, they have shown promise in terms of consistent answers and performance in the public health sector. More studies in this field are needed to realize the full promise of AI chatbots in these sectors.

Generative AIs in Detecting Mpox Related Misinformation: ChatGPT and Gemini Corraya, Badhan Hubert; Khan, Miron; Mahmud, Md. Rifat
The Indonesian Journal of Communication Studies Vol. 17 No. 2 (2024): The Indonesia Journal of Communication Studies
Publisher : Department of Communication Studies, Faculty of Social and Political Sciences Universitas

Show Abstract | Download Original | Original Source | Check in Google Scholar

This study investigates the performance of two generative AI systems, ChatGPT and Gemini, in detecting Mpox-related misinformation. As the Mpox outbreak in recent times led to widespread dissemination of both accurate and false information, particularly on social media platforms, the potential of AI in combating health misinformation has gained attention. The research presented ten commonly circulated pieces of Mpox misinformation to both AI systems, evaluating their responses against fact-checks and public health databases. Results demonstrated that both ChatGPT and Gemini performed admirably in identifying false information and providing accurate data about Mpox. Their responses aligned closely with authoritative sources such as the World Health Organization and Centers for Disease Control and Prevention. The study's findings suggest that these AI tools could be valuable assets in combating the spread of misinformation during disease outbreaks. However, the researchers emphasize that AI systems should not be considered infallible and should be used in conjunction with human expertise and authoritative sources. The performance of ChatGPT and Gemini in this context aligns with broader trends of generative AI platforms showing potential across various fields, including science and medicine. While promising, the study calls for further research to fully realize the potential of AI chatbots in addressing health misinformation, including investigations into practical applications such as integrating AI systems into public health communication strategies or developing AI-assisted fact-checking tools for social media platforms.

Performance of Generative AIs in Detecting Dengue-Related Misinformation: ChatGPT and Google Bard Mahmud, Md. Rifat
The Indonesian Journal of Communication Studies Vol. 17 No. 1 (2024): The Indonesian Journal of Communication Studies
Publisher : Department of Communication Studies, Faculty of Social and Political Sciences Universitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/ijcs.v17i1.11768

Dengue outbreaks have become a common occurrence in South Asian countries, including Bangladesh. It has caused widespread concern among people from all walks of life. Various misinformation about dengue proliferates among people, mainly through social media platforms. The project was designed to investigate the performance of generative AIs in detecting dengue-related disinformation. In this study, two famous generative AIs were chosen to explore the performance of generative AI in detecting dengue-related misinformation: ChatGPT and Google Bard. These AI platforms were given widely distributed misinformation about dengue and asked to determine whether it was accurate or untrue. False information was identified through content analysis of various stories about the dengue outbreak, particularly those circulating on social media platforms. After getting responses from generative AIs, the answers were cross-checked using fact-checkers and public health databases such as WHO and CDC to determine whether the answers were correct or not. This study examined the performance of three AI systems (ChatGPT and Google Bard) in reacting to ten regularly disseminated misconceptions about dengue, particularly on social networking sites. Based on public health database statements (e.g., WHO, CDC) and fact-checker comments, ChatGPT and Google BARD demonstrated promising outcomes in detecting disinformation and presenting factual information. Dengue outbreaks have become common in developing nations such as Bangladesh, and spreading dengue-related misinformation has become commonplace. While it is known that generative AI systems have inherent limitations and may not always excel at dealing with complex real-world circumstances, they have shown promise in terms of consistent answers and performance in the public health sector. More studies in this field are needed to realize the full promise of AI chatbots in these sectors.

Anti-Women Misinformation on YouTube Mahmud, Md. Rifat; Reza, Raiyan Bin
COMMUSTY Journal of Communication Studies and Society Vol. 3 No. 1 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/commusty.v3i1.5093

YouTube has faced criticism for facilitating the spread of misinformation targeting women. This study analyzes anti-women content on YouTube to understand the types, volume, and potential harms of misinformation campaigns. Through a content analysis of videos, channels, and discussions networks, we identified common anti-women tropes including claims about feminism, gender politics, relationships, and women - men relationship. The sample of this study (N=100) was drawn from popular videos matching relevant keywords. Videos were coded for message framing. Results show an availability of wide range videos spreading anti women videos. Most of these videos are dominated by male speakers. This study provides empirical evidence that YouTube is a vector for organized misinformation targeting women, with concerning real-world implications. It is imperative for this platform to curb harmful anti-women propaganda using content moderation and algorithm governance.

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