- Social Media and Politics
- Turkey's Politics and Society
- Hate Speech and Cyberbullying Detection
- Opinion Dynamics and Social Influence
- Southeast Asian Sociopolitical Studies
- Agricultural risk and resilience
- Social and Economic Development in India
- Humor Studies and Applications
- Healthcare innovation and challenges
- Gender, Labor, and Family Dynamics
- Terrorism, Counterterrorism, and Political Violence
- Media, Religion, Digital Communication
- Media Studies and Communication
- Social Policy and Reform Studies
Marmara University
2024
Koç University
2022-2023
This study analyzes Turkey's political landscape by harnessing Computational Social Science techniques to parse extensive data about public ideologies from the Politus database. Unlike existing theoretical framework that considers of elites and cadres, this examines in a contentious manner. It distills eight most prevalent down city level employs unsupervised machine learning models. The Principal Component Analysis delineates two fundamental axes, traditional left-right spectrum separate...
This paper tests the validity of a digital trace database (Politus) obtained from Twitter, with recently conducted representative social survey, focusing on use case religiosity in Turkey. Religiosity scores research are extracted using supervised machine learning under Politus project. The validation analysis depends two steps. First, we compare performances alternative tweet-to-user transformation strategies, and second, test for impact resampling via MRP technique. Estimates examined at...
Using artificial intelligence, this article explores the intricate dynamics between ideologies, emotions, and political preferences of electorate in Turkey. Utilizing a dataset one billion posts from X (formerly Twitter), study maps out opinions, focusing on support for presidential candidates, ideological stances, collective emotions around pivotal 2023 Turkish elections. We discuss limitations conventional survey techniques introduce an ERC‐funded Politus project that processes digital...
Social assistance programs and the related literature are proliferating globally. This article conducts a critical systematic review of with objective transparent selection criteria illustrates two major shortcomings: First, is largely descriptive impact-oriented as analytical studies on determinants/causes social relatively under-examined. Second, it identifies gap in literature, which emanates from relative under-examination political, especially contentious factors scholarly analyses...
This paper tests the validity of a digital trace database (Politus) obtained from Twitter, with recently conducted representative social survey, focusing on use case religiosity in Turkey. Religiosity scores research are extracted using supervised machine learning under Politus project. The validation analysis depends two steps. First, we compare performances alternative tweet-to-user transformation strategies, and second, test for impact resampling via MRP technique. Estimates examined at...