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All Journal INFORMASI Journal of Communication Studies and Society
Reza, Raiyan Bin
Unknown Affiliation
Languange, Linguistic, Communication & Media Library & Information Science

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Media coverage of DeepFake disinformation: An analysis of three South-Asian countries Sunvy, Ahmed Shafkat; Reza, Raiyan Bin; Imran, Abdullah Al
Informasi Vol. 53 No. 2 (2023): Informasi
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/informasi.v53i2.66479

Abstract

A lot of people are concerned about DeepFakes in modern society. Despite its wide range of uses, DeepFakes has gotten little public recognition. The main goal of this research is to analyze DeepFakes and their originators, as well as their potential and risks. We analyzed 203 news articles from 16 media outlets in Bangladesh, India, and Pakistan to achieve our goal. The extracted news had been categorized under threat, prevention and entertainment centric news. It has been revealed after analyzing DeepFake related news from the leading English daily of these countries that more than 50% news of Pakistani newspapers related to DeepFake was on the threat of this heinous technology. On the other hand, one third news of Indian and Bangladeshi newspapers was on this regard. The widespread broadcast of misleading information through media outlets might boost their legitimacy and reception for a short time but slowly and steadily smear their good name. This study also highlights the significant role media professionals have in spreading disinformation about the people and topics they cover.
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

Abstract

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.
Co-Authors Imran, Abdullah Al Mahmud, Md. Rifat Sunvy, Ahmed Shafkat