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    Author: Wenzhe Yang

    Identifying Political Topics in Social Media Messages

    Identifying Political Topics in Social Media Messages

    In this post, we introduce our lexicon-based approach to political campaign advertisement message topic classification.

    Wenzhe Yang December 19, 2020December 20, 2020 2020 Presidential Election, Message Topic No Comments Read more
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    Categories

    • 2020 Presidential Election (29)
    • Ad States (17)
    • Age Demographics (15)
    • Battleground States (8)
    • Campaign Fundraising (4)
    • Facebook Ads (29)
    • Facebook Posts (3)
    • Gender Demographics (13)
    • Journal article (1)
    • Message Topic (15)
    • Message Toxicity (3)
    • Message Type (13)
    • Twitter Posts (3)
    • Uncategorized (15)
    • Website Update (4)

    Tags

    2020 election (20) 2020 Presidential Election (6) Ad buys (7) Age (6) Age Demographics (6) Arizona (3) Attack ads (2) Bernie Sanders (2) Biden (3) Biden ads (6) Call to Action (3) COVID-19 (3) Democratic primary (2) Democrats (3) demographics (5) Donald Trump (21) Electoral College (2) Facebook (6) Facebook Ad Library (9) Facebook ads (12) Facebook posts (2) Florida (4) Gender (9) Georgia (3) Iowa (2) Joe Biden (21) Location (4) Machine Learning (3) message tone (4) message topic (14) Message type (12) Nevada (2) North Carolina (2) Ohio (3) Pennsylvania (3) Presidential election (3) Spending (4) spend per 1000 views (2) Swing states (5) Trump ads (5) Twitter (2) Twitter posts (2) Unique ads (2) Week in Review (3) Wisconsin (2)

    Funding

    This project is supported by the John S. and James L. Knight Foundation, the Tow Center for Digital Journalism at Columbia University, the Center for Computational and Data Sciences and the BITS Lab at the School of Information Studies at Syracuse University.

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