Melissa Tully

3.5k total citations · 2 hit papers
72 papers, 2.1k citations indexed

About

Melissa Tully is a scholar working on Sociology and Political Science, Communication and Literature and Literary Theory. According to data from OpenAlex, Melissa Tully has authored 72 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Sociology and Political Science, 44 papers in Communication and 17 papers in Literature and Literary Theory. Recurrent topics in Melissa Tully's work include Social Media and Politics (35 papers), Misinformation and Its Impacts (33 papers) and Media Studies and Communication (19 papers). Melissa Tully is often cited by papers focused on Social Media and Politics (35 papers), Misinformation and Its Impacts (33 papers) and Media Studies and Communication (19 papers). Melissa Tully collaborates with scholars based in United States, United Kingdom and Ireland. Melissa Tully's co-authors include Emily K. Vraga, Leticia Bode, Brian Ekdale, Rachel Young, Mariah L. Wellman, Jane B. Singer, Kajsa E. Dalrymple, Seth Ashley, Stephanie Craft and Adam Maksl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Journal of Media Literacy Education.

In The Last Decade

Melissa Tully

68 papers receiving 2.0k citations

Hit Papers

News literacy, social media behaviors, and skepticism tow... 2019 2026 2021 2023 2019 2020 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Melissa Tully United States 26 1.6k 1.1k 373 363 225 72 2.1k
Caleb T. Carr United States 23 2.0k 1.3× 1.2k 1.1× 354 0.9× 235 0.6× 295 1.3× 58 2.9k
Porismita Borah United States 25 1.5k 1.0× 1.3k 1.2× 337 0.9× 352 1.0× 77 0.3× 90 2.4k
Nojin Kwak United States 26 2.2k 1.4× 2.4k 2.2× 311 0.8× 284 0.8× 155 0.7× 46 3.4k
Kjerstin Thorson United States 21 1.9k 1.2× 1.9k 1.7× 210 0.6× 455 1.3× 135 0.6× 57 2.8k
Brandon Van Der Heide United States 18 2.1k 1.4× 1.2k 1.1× 278 0.7× 196 0.5× 144 0.6× 31 2.8k
Brian E. Weeks United States 24 2.0k 1.3× 2.0k 1.8× 222 0.6× 452 1.2× 71 0.3× 48 2.8k
Yariv Tsfati Israel 30 2.4k 1.5× 2.6k 2.4× 497 1.3× 427 1.2× 78 0.3× 78 3.8k
Leen d’Haenens Belgium 26 1.5k 1.0× 1.1k 1.0× 175 0.5× 118 0.3× 426 1.9× 206 2.6k
Saleem Alhabash United States 20 1.8k 1.1× 627 0.6× 266 0.7× 173 0.5× 290 1.3× 48 2.5k
Michael A. Stefanone United States 22 1.3k 0.8× 746 0.7× 191 0.5× 116 0.3× 208 0.9× 55 1.9k

Countries citing papers authored by Melissa Tully

Since Specialization
Citations

This map shows the geographic impact of Melissa Tully's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Melissa Tully with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Tully more than expected).

Fields of papers citing papers by Melissa Tully

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa Tully. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Melissa Tully. The network helps show where Melissa Tully may publish in the future.

Co-authorship network of co-authors of Melissa Tully

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Tully. A scholar is included among the top collaborators of Melissa Tully based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Melissa Tully. Melissa Tully is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gondwe, Gregory, Dani Madrid‐Morales, Melissa Tully, & Herman Wasserman. (2025). Misinformation and Digital Inequalities: Comparing How Different Demographic Groups Get Exposed to and Engage with False Information. Mass Communication & Society. 29(1). 1–15.
3.
Tully, Melissa, et al.. (2024). Media Literacy and Fact-Checking as Proactive and Reactive Responses to Misinformation in Kenya and Senegal. African Journalism Studies. 47(1). 1–18. 1 indexed citations
4.
Tully, Melissa, et al.. (2024). Effects of a News Literacy Video on News Literacy Perceptions and Misinformation Evaluation. Media and Communication. 13. 1 indexed citations
5.
Young, Rachel, et al.. (2023). Barriers to mediation among U.S. parents of adolescents: A mixed-methods study of why parents do not monitor or restrict digital media use. Computers in Human Behavior. 153. 108093–108093. 5 indexed citations
6.
Ahmed, Saifuddin, Dani Madrid‐Morales, & Melissa Tully. (2022). Online political engagement, cognitive skills and engagement with misinformation: evidence from Sub-Saharan Africa and the United States. Online Information Review. 47(5). 989–1008. 9 indexed citations
7.
Ahmed, Saifuddin, Dani Madrid‐Morales, & Melissa Tully. (2022). Social media, misinformation, and age inequality in online political engagement. Journal of Information Technology & Politics. 20(3). 269–285. 12 indexed citations
8.
Ashley, Seth, Stephanie Craft, Adam Maksl, Melissa Tully, & Emily K. Vraga. (2022). Can News Literacy Help Reduce Belief in COVID Misinformation?. Mass Communication & Society. 26(4). 695–719. 14 indexed citations
9.
Madrid‐Morales, Dani, et al.. (2021). Comparative Approaches to Mis/Disinformation| Motivations for Sharing Misinformation: A Comparative Study in Six Sub-Saharan African Countries. International journal of communication. 15. 20. 8 indexed citations
10.
Vraga, Emily K., Melissa Tully, & Leticia Bode. (2021). Assessing the relative merits of news literacy and corrections in responding to misinformation on Twitter. New Media & Society. 24(10). 2354–2371. 47 indexed citations
12.
Bode, Leticia, Emily K. Vraga, & Melissa Tully. (2020). Correcting Misperceptions About Genetically Modified Food on Social Media: Examining the Impact of Experts, Social Media Heuristics, and the Gateway Belief Model. Science Communication. 43(2). 225–251. 43 indexed citations
13.
Tully, Melissa & Emily K. Vraga. (2018). A Mixed Methods Approach to Examining the Relationship Between News Media Literacy and Political Efficacy. International journal of communication. 12. 22. 23 indexed citations
14.
Tully, Melissa, et al.. (2018). News media literacy, perceptions of bias, and interpretation of news. Journalism. 21(2). 209–226. 52 indexed citations
15.
Tully, Melissa & Emily K. Vraga. (2017). Who Experiences Growth in News Media Literacy and Why Does It Matter? Examining Education, Individual Differences, and Democratic Outcomes. Journalism & Mass Communication Educator. 73(2). 167–181. 22 indexed citations
16.
Young, Rachel, Kajsa E. Dalrymple, & Melissa Tully. (2016). Twitter Chats and Public Engagement: Examining Concern and Critique in Questions About the Ebola Epidemic. 1 indexed citations
17.
Vraga, Emily K., et al.. (2015). A Multi-Dimensional Approach to Measuring News Media Literacy. Journal of Media Literacy Education. 62 indexed citations
18.
Tully, Melissa. (2015). Investigating the Role of Innovation Attributes in the Adoption, Rejection, and Discontinued Use of Open Source Software for Development. Information Technologies and International Development. 11(3). 55–69. 16 indexed citations
19.
Tully, Melissa & Brian Ekdale. (2014). Sites of Playful Engagement: Twitter Hashtags as Spaces of Leisure and Development in Kenya. Information Technologies and International Development. 10(3). 67–82. 29 indexed citations
20.
Fair, Jo Ellen, et al.. (2009). Crafting Lifestyles in Urban Africa: Young Ghanaians in the World of Online Friendship. Africa Today. 55(4). 28–49. 22 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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