Ceren Budak
Biographic Data
| ID | 4394287 |
|---|---|
| NAME | Ceren Budak |
| GIVEN NAMES | Ceren |
| FAMILY NAME | Budak |
| SIGNATURE | BUDAK C |
| AFFILIATIONS | University of Michigan |
| ORCID | 0000-0002-7767-3217 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 80 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 3 |
The Stability of Cable and Broadcast News Intermedia Agenda Setting Across the Covid-19 Issue Attention Cycle
In today's fragmented media environment, it is unclear whether the correspondence between media agendas that characterizes intermedia agenda setting persists. Through a combination of manual and computerized content analysis of 486,068 paragraphs of COVID−19 coverage across 4,589 cable and broadcast news transcripts, we analyze second and third-level attribute agenda setting, both in terms of central themes and aspects. Through the lens of the is…
Bursts of contemporaneous publication among high- and low-credibility online information providers
In studies of misinformation, the distinction between high- and low-credibility publishers is fundamental. However, there is much that we do not know about the relationship between the subject matter and timing of content produced by the two types of publishers. By analyzing the content of several million unique articles published over 28 months, we show that high- and low-credibility publishers operate in distinct news ecosystems. Bursts of news…
Better Crowdcoding
In this work, we evaluate different instruction strategies to improve the quality of crowdcoding for the concept of civility. We test the effectiveness of training, codebooks, and their combination through 2 × 2 experiments conducted on two different populations – students and Amazon Mechanical Turk workers. In addition, we perform simulations to evaluate the trade-off between cost and performance associated with different instructional strategie…
Beyond the eye-catchers
Existing studies of social movement organizations (SMOs) commonly focus only on a small number of well-known SMOs or SMOs that belong to a single social movement industry (SMI). This is partially because current methods for identifying SMOs are labor-intensive. In contrast to these manual approaches, in our article, we use Twitter data pertaining to BlackLivesMatter and Women’s movements and employ crowdsourcing and nested supervised learning met…
Fair and Balanced? Quantifying Media Bias through Crowdsourced Content Analysis
It is widely thought that news organizations exhibit ideological bias, but rigorously quantifying such slant has proven methodologically challenging. Through a combination of machine-learning and crowdsourcing techniques, we investigate the selection and framing of political issues in fifteen major US news outlets. Starting with 803,146 news stories published over twelve months, we first used supervised learning algorithms to identify the 14 perc…
Dissecting the Spirit of Gezi
Do social movements actively shape the opinions and attitudes of participants by bringing together diverse groups that subsequently influence one another? Ethnographic studies of the 2013 Gezi uprising seem to answer "yes, " pointing to solidarity among groups that were traditionally indifferent, or even hostile, to one another. We argue that two mechanisms with differing implications may generate this observed outcome: "influence" (change in att…
Fair and Balanced? Quantifying Media Bias through Crowdsourced Content Analysis
It is widely thought that news organizations exhibit ideological bias, but rigorously quantifying such slant has proven methodologically challenging. Through a combination of machine-learning and crowdsourcing techniques, we investigate the selection and framing of political issues in fifteen major US news outlets. Starting with 803,146 news stories published over twelve months, we first used supervised learning algorithms to identify the 14 perc…
Dissecting the Spirit of Gezi
Do social movements actively shape the opinions and attitudes of participants by bringing together diverse groups that subsequently influence one another? Ethnographic studies of the 2013 Gezi uprising seem to answer "yes, " pointing to solidarity among groups that were traditionally indifferent, or even hostile, to one another. We argue that two mechanisms with differing implications may generate this observed outcome: "influence" (change in att…
Better Crowdcoding
In this work, we evaluate different instruction strategies to improve the quality of crowdcoding for the concept of civility. We test the effectiveness of training, codebooks, and their combination through 2 × 2 experiments conducted on two different populations – students and Amazon Mechanical Turk workers. In addition, we perform simulations to evaluate the trade-off between cost and performance associated with different instructional strategie…
The Stability of Cable and Broadcast News Intermedia Agenda Setting Across the Covid-19 Issue Attention Cycle
In today's fragmented media environment, it is unclear whether the correspondence between media agendas that characterizes intermedia agenda setting persists. Through a combination of manual and computerized content analysis of 486,068 paragraphs of COVID−19 coverage across 4,589 cable and broadcast news transcripts, we analyze second and third-level attribute agenda setting, both in terms of central themes and aspects. Through the lens of the is…
Bursts of contemporaneous publication among high- and low-credibility online information providers
In studies of misinformation, the distinction between high- and low-credibility publishers is fundamental. However, there is much that we do not know about the relationship between the subject matter and timing of content produced by the two types of publishers. By analyzing the content of several million unique articles published over 28 months, we show that high- and low-credibility publishers operate in distinct news ecosystems. Bursts of news…
Dissecting the Spirit of Gezi
Do social movements actively shape the opinions and attitudes of participants by bringing together diverse groups that subsequently influence one another? Ethnographic studies of the 2013 Gezi uprising seem to answer "yes, " pointing to solidarity among groups that were traditionally indifferent, or even hostile, to one another. We argue that two mechanisms with differing implications may generate this observed outcome: "influence" (change in att…
Fair and Balanced? Quantifying Media Bias through Crowdsourced Content Analysis
It is widely thought that news organizations exhibit ideological bias, but rigorously quantifying such slant has proven methodologically challenging. Through a combination of machine-learning and crowdsourcing techniques, we investigate the selection and framing of political issues in fifteen major US news outlets. Starting with 803,146 news stories published over twelve months, we first used supervised learning algorithms to identify the 14 perc…
Beyond the eye-catchers
Existing studies of social movement organizations (SMOs) commonly focus only on a small number of well-known SMOs or SMOs that belong to a single social movement industry (SMI). This is partially because current methods for identifying SMOs are labor-intensive. In contrast to these manual approaches, in our article, we use Twitter data pertaining to BlackLivesMatter and Women’s movements and employ crowdsourcing and nested supervised learning met…
Better Crowdcoding
In this work, we evaluate different instruction strategies to improve the quality of crowdcoding for the concept of civility. We test the effectiveness of training, codebooks, and their combination through 2 × 2 experiments conducted on two different populations – students and Amazon Mechanical Turk workers. In addition, we perform simulations to evaluate the trade-off between cost and performance associated with different instructional strategie…
The Stability of Cable and Broadcast News Intermedia Agenda Setting Across the Covid-19 Issue Attention Cycle
In today's fragmented media environment, it is unclear whether the correspondence between media agendas that characterizes intermedia agenda setting persists. Through a combination of manual and computerized content analysis of 486,068 paragraphs of COVID−19 coverage across 4,589 cable and broadcast news transcripts, we analyze second and third-level attribute agenda setting, both in terms of central themes and aspects. Through the lens of the is…
Bursts of contemporaneous publication among high- and low-credibility online information providers
In studies of misinformation, the distinction between high- and low-credibility publishers is fundamental. However, there is much that we do not know about the relationship between the subject matter and timing of content produced by the two types of publishers. By analyzing the content of several million unique articles published over 28 months, we show that high- and low-credibility publishers operate in distinct news ecosystems. Bursts of news…
Computer Science (6 works) · Political science (5 works) · Artificial Intelligence (4 works) · Hate Speech and Cyberbullying Detection (4 works) · Social Media and Politics (4 works) · Crowdsourcing (3 works) · Law (3 works) · Law (3 works) · Media Influence and Politics (3 works) · Misinformation and Its Impacts (3 works)