Showing posts with label deepfake. Show all posts
Showing posts with label deepfake. Show all posts

Monday, August 26, 2024

Bridging Disciplinary Gaps and Methodological Challenges in Understanding Deepfake Discourse: A Study of Turkish Reddit Posts Related to Deepfake

Abstract

This study explores the evolving landscape of deepfake discussions, focusing particularly on Turkish posts on Reddit. While deepfake technology gained prominence in 2017, the academic community's interest surged, with studies primarily concentrating on deepfake detection. However, there is a dearth of research on public perceptions and online discourse surrounding deepfake. Through text analysis, this study explores Turkish Reddit posts, uncovering that a substantial portion (69.4%) focuses on deepfakes with sexual content, particularly featuring celebrities (60.2%). Politics also emerges as a prominent theme, constituting 22% of the content, with an additional 8.6% dedicated to technical aspects of deepfake creation. Over time, posts on sexual deepfake content, particularly those featuring celebrities, dominate, but during the May 2023 presidential and general elections, political deepfakes gained traction. Despite shedding light on content trends, the study faces two significant limitations. The first limitation is methodological. Studies relying solely on text analysis struggle to offer comprehensive insights into people's perceptions of deepfake. Therefore, a more profound understanding can be attained through qualitative face-to-face interviews, allowing for a deeper exploration of individuals' perspectives. The second limitation is disciplinary. Research encompassing diverse disciplines such as psychology, sociology, and media studies would yield more nuanced results in comprehending both the broader framework of public and societal perceptions on the topic and their deeper intricacies.


Key words: Deepfake, Türkiye, Reddit, Interdisciplinary Approach, Dictionary-based Text Analysis, Mixed Methods


Link: https://ojs.library.carleton.ca/index.php/J-ICSLAC/article/view/4839/3551

Tuesday, July 23, 2024

A Comprehensive Analysis of Public Discourse and Content Trends in Turkish Reddit Posts Related to Deepfake

ABSTRACT 


This study investigates the content and changes in deepfakes-related discussions on 5,220 Turkish Reddit posts from October 2019 to August 2023. Although the academic community has shown an increasing interest in deepfakes since 2017, focusing on detection methods and the technology itself, scant attention has been paid to public perceptions and online debate. The analysis reveals that 69.4% of the examined posts feature deepfake content with sexual themes, with celebrity women being the primary targets in 60.2% of cases. In contrast, 22% of the content is about politics and political figures, while 8.6% provides technical guidance on creating deepfakes. The study also observes content changes over time, noticing a rise in sexually explicit deepfake posts, particularly involving celebrities. However, in May 2023, coinciding with the presidential and general elections in Türkiye, discussions about politics and political figures have significantly increased. This study sheds light on the changing landscape of discussions, emphasizing the predominant presence of sexual content and the increasing prevalence of political content, particularly during election seasons. 


LINK: https://iga.pknu.ac.kr:446/html/jga/online-jga.php?mode=view&idx=28