Browsing by Author Saifuddin Ahmed

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  • Authors: Saifuddin Ahmed; Muhammad Masood; Yifei Wang (2024)

  • Most current studies examining the mobilizing or reinforcing role of social media for political participation focus on gender and socioeconomic stratifications and are based in Western democratic societies. Attention to religious status as a form of social stratification concerning social media use for political participation, more so in non-Western settings, is nearly absent. This study, through survey data from India, investigates the roles of political interest, social media news use, and religious status in explaining online political participation gaps. Results show that individuals with higher political interest and frequent social media news use are likelier to engage in online...

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  • Authors: Saifuddin Ahmed (2023-03-18)

  • Deepfakes have a pernicious realism advantage over other common forms of disinformation, yet little is known about how citizens perceive deepfakes. Using the third-person effects framework, this study is one of the first attempts to examine public perceptions of deepfakes. Evidence across three studies in the US and Singapore supports the third-person perception (TPP) bias, such that individuals perceived deepfakes to influence others more than themselves (Study 1–3). The same subjects also show a bias in perceiving themselves as better at discerning deepfakes than others (Study 1–3). However, a deepfakes detection test suggests that the third-person perceptual gaps are not predictive...

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  • Authors: Saifuddin Ahmed (2023)

  • Several studies have investigated the effects of internet use on protest participation behavior. However, fewer have explored how personal dispositions of individuals moderate the impact of the internet. This study explores the relationship between political engagement, internet use, authoritarian orientation, and protest participation in Hong Kong, Taiwan, Thailand, and Myanmar. First, analysis of fourth-wave of the Asian Barometer survey data suggests a political engagement-driven stratification in protest participation across all settings. Second, internet use is positively associated with protest participation but only in authoritarian states, and citizens’ authoritarian orientati...

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  • Authors: Kokil Jaidka; Saifuddin Ahmed; Marko Skoric; Martin Hilbert (2019)

  • This study introduces and evaluates the robustness of different volumetric, sentiment, and social network approaches to predict the elections in three Asian countries – Malaysia, India, and Pakistan from Twitter posts. We find that predictive power of social media performs well for India and Pakistan but is not effective for Malaysia. Overall, we find that it is useful to consider the recency of Twitter posts while using it to predict a real outcome, such as an election result. Sentiment information mined using machine learning models was the most accurate predictor of election outcomes. Social network information is stable despite sudden surges in political discussions, for e.g. arou...

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  • Authors: Saifuddin Ahmed; Vivian Hsueh Hua Chen; Kokil Jaidka; Rosalie Hooi; Arul Chib (2021)

  • Social media has a role to play in shaping the dynamic relations between immigrants and citizens. This study examines the effects of threat perceptions, consumptive and expressive use of social media, and political trust on attitudes against immigrants in Singapore. Study 1, based on a survey analysis (N = 310), suggests that symbolic but not realistic threat perception, is positively associated with anti-immigrant attitudes. The consumptive use of social media and political trust is negatively related to anti-immigrant attitudes. Moderation analyses suggest that consumptive social media use has negative consequences for individuals with increased symbolic threat perception and high po...