Edward Hurcombe

892 total citations · 1 hit paper
22 papers, 507 citations indexed

About

Edward Hurcombe is a scholar working on Communication, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Edward Hurcombe has authored 22 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Communication, 15 papers in Sociology and Political Science and 4 papers in Artificial Intelligence. Recurrent topics in Edward Hurcombe's work include Social Media and Politics (13 papers), Media Studies and Communication (10 papers) and Misinformation and Its Impacts (9 papers). Edward Hurcombe is often cited by papers focused on Social Media and Politics (13 papers), Media Studies and Communication (10 papers) and Misinformation and Its Impacts (9 papers). Edward Hurcombe collaborates with scholars based in Australia and Russia. Edward Hurcombe's co-authors include Stephen Harrington, Axel Bruns, James Meese, Jean Burgess, Daniel Angus, T.J. Thomson, Paula Dootson, Timothy Graham, Ehsan Dehghan and Scott Wright and has published in prestigious journals such as New Media & Society, Information Communication & Society and Public Relations Review.

In The Last Decade

Edward Hurcombe

17 papers receiving 484 citations

Hit Papers

‘Corona? 5G? or both?’: the dynamics of COVID-19/5G consp... 2020 2026 2022 2024 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
Edward Hurcombe Australia 10 355 292 73 41 38 22 507
Sergio Splendore Italy 13 381 1.1× 443 1.5× 82 1.1× 24 0.6× 29 0.8× 52 653
Philip Mai Canada 10 350 1.0× 171 0.6× 101 1.4× 51 1.2× 41 1.1× 34 486
Felix M. Simon United Kingdom 10 285 0.8× 206 0.7× 92 1.3× 31 0.8× 14 0.4× 18 441
Orestis Papakyriakopoulos United States 12 307 0.9× 193 0.7× 196 2.7× 42 1.0× 59 1.6× 29 490
Yotam Shmargad United States 11 182 0.5× 142 0.5× 86 1.2× 38 0.9× 26 0.7× 23 397
Nel Ruigrok Netherlands 13 305 0.9× 339 1.2× 85 1.2× 18 0.4× 18 0.5× 28 616
Axel Westerwick United States 12 381 1.1× 265 0.9× 72 1.0× 19 0.5× 36 0.9× 19 534
Tara Marie Mortensen United States 9 375 1.1× 274 0.9× 106 1.5× 30 0.7× 73 1.9× 17 548
Craig Robertson United States 11 308 0.9× 238 0.8× 116 1.6× 11 0.3× 42 1.1× 20 467
Nicoleta Corbu Romania 13 500 1.4× 360 1.2× 117 1.6× 57 1.4× 33 0.9× 45 670

Countries citing papers authored by Edward Hurcombe

Since Specialization
Citations

This map shows the geographic impact of Edward Hurcombe'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 Edward Hurcombe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Hurcombe more than expected).

Fields of papers citing papers by Edward Hurcombe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward Hurcombe. 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 Edward Hurcombe. The network helps show where Edward Hurcombe may publish in the future.

Co-authorship network of co-authors of Edward Hurcombe

This figure shows the co-authorship network connecting the top 25 collaborators of Edward Hurcombe. A scholar is included among the top collaborators of Edward Hurcombe 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 Edward Hurcombe. Edward Hurcombe 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.
Hurcombe, Edward, et al.. (2025). Long live Darth Vapour! Examining how audiences engage with influencers in an anti-vaping campaign. Public Relations Review. 51(5). 102633–102633.
2.
Hurcombe, Edward, et al.. (2025). The discursive function of Meta’s Newsroom: How Meta frames the problem of problematic online content. Convergence The International Journal of Research into New Media Technologies. 31(5). 1649–1671.
4.
Hurcombe, Edward. (2024). Conceptualising the “Newsfluencer”: Intersecting Trajectories in Online Content Creation and Platformatised Journalism. Digital Journalism. 13(9). 1523–1534. 6 indexed citations
5.
Angus, Daniel, et al.. (2023). Computational Communication Methods for Examining Problematic News-Sharing Practices on Facebook at Scale. Social Media + Society. 9(3). 5 indexed citations
6.
Bruns, Axel, et al.. (2022). Soft power, sharp power? Exploring RT ’s dual role in Russia’s diplomatic toolkit. Information Communication & Society. 26(16). 3292–3317. 13 indexed citations
7.
Hurcombe, Edward. (2022). Social News. 5 indexed citations
8.
Bruns, Axel, Edward Hurcombe, & Stephen Harrington. (2021). Covering Conspiracy: Approaches to Reporting the COVID/5G Conspiracy Theory. Digital Journalism. 10(6). 930–951. 16 indexed citations
9.
Dootson, Paula, et al.. (2021). Managing problematic visual media in natural hazard emergencies. International Journal of Disaster Risk Reduction. 59. 102249–102249. 11 indexed citations
10.
Meese, James, et al.. (2021). The Institutional Impacts of Algorithmic Distribution: Facebook and the Australian News Media. Social Media + Society. 7(2). 13 indexed citations
11.
Angus, Daniel, Axel Bruns, Edward Hurcombe, et al.. (2021). ‘FAKE NEWS’ AND OTHER PROBLEMATIC INFORMATION: STUDYING DISSEMINATION AND DISCOURSE PATTERNS. AoIR Selected Papers of Internet Research.
12.
Bruns, Axel, Stephen Harrington, & Edward Hurcombe. (2020). ‘Corona? 5G? or both?’: the dynamics of COVID-19/5G conspiracy theories on Facebook. Media International Australia. 177(1). 12–29. 175 indexed citations breakdown →
13.
Graham, Timothy, et al.. (2020). #IStandWithDan versus #DictatorDan: the polarised dynamics of Twitter discussions about Victoria’s COVID-19 restrictions. Media International Australia. 179(1). 127–148. 23 indexed citations
14.
Thomson, T.J., et al.. (2020). Visual Mis/disinformation in Journalism and Public Communications: Current Verification Practices, Challenges, and Future Opportunities. Journalism Practice. 16(5). 938–962. 67 indexed citations
15.
Meese, James & Edward Hurcombe. (2020). Regulating misinformation: policy brief. QUT ePrints (Queensland University of Technology). 2 indexed citations
16.
Meese, James & Edward Hurcombe. (2020). Facebook, news media and platform dependency: The institutional impacts of news distribution on social platforms. New Media & Society. 23(8). 2367–2384. 104 indexed citations
17.
Hurcombe, Edward, Jean Burgess, & Stephen Harrington. (2019). What’s newsworthy about ‘social news’? Characteristics and potential of an emerging genre. Journalism. 22(2). 378–394. 28 indexed citations
18.
Hurcombe, Edward. (2019). TROLLING FOR ENGAGEMENT: AUSTRALIAN LEGACY NEWS OUTLETS SEEKING AUDIENCE INTERACTION METRICS ON FACEBOOK THROUGH DELIBERATELY DIVISIVE CONTENT. AoIR Selected Papers of Internet Research. 2019. 1 indexed citations
19.
Burgess, Jean & Edward Hurcombe. (2019). Digital Journalism as Symptom, Response, and Agent of Change in the Platformed Media Environment. Digital Journalism. 7(3). 359–367. 34 indexed citations
20.
Hurcombe, Edward. (2016). The making of a captain: The production and projection of a political image on the Tony Abbott Facebook page. QUT ePrints (Queensland University of Technology). 49(1). 19.

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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