Computational Campaigning
Computational Campaigning is a methodological framework within the field of political communication that employs data-driven algorithms, machine learning techniques, and large-scale digital behavior analysis to strategically design, target, and optimize electoral or issue-based campaigns in online environments.
14
Publications
1.4K
Citations
39
Authors
22
Institutions
Publications per year
2017–2026
10
Parents
14
The Victory Lab: The Secret Science of Winning Campaigns
Chris Henick · The Forum · 2013 · 274 citations
Computational Advertising: A Paradigm Shift for Advertising and Marketing?
Yanwu Yang, Yinghui Yang, Bernard J. Jansen et al. · IEEE Intelligent Systems · 2017 · 61 citations
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Huazhong University of Science and Technology
Wuhan, China
1 h-index
2 publications
122 citations
George Washington University
Washington, United States
1 h-index
1 publications
14 citations
University of California, Davis
Davis, United States
1 h-index
2 publications
122 citations
Humak University of Applied Sciences
Helsinki, Finland
1 h-index
1 publications
37 citations
Chandigarh University
Mohali, India
1 h-index
1 publications
20 citations

Lappeenranta-Lahti University of Technology
Lappeenranta, Finland
1 h-index
1 publications
25 citations
Ben-Gurion University of the Negev
Beersheba, Israel
1 h-index
1 publications
38 citations

University of Turin
Turin, Italy
1 h-index
1 publications
16 citations
1–8 of 22
2 publications · 199 citations
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1 publications · 16 citations
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1 publications · 16 citations
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1 publications · 24 citations
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1 publications · 25 citations
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