Fake News on Facebook and Twitter: Trump vs. Clinton

6cc92408f3bd0cb2584faddd41d4f22b?s=47 DataViz CPH
September 24, 2019

Fake News on Facebook and Twitter: Trump vs. Clinton

A data analytics project aimed at examining the proliferation of fake news and biased information on social media during the 2016 US presidential election campaign. Presentation by Abid Hussain

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DataViz CPH

September 24, 2019
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    Fake News on Facebook and Twitter: Trump vs. Clinton Abid

    Hussain Associate Professor, Centre for Business Data Analytics Department of Digitalization Copenhagen Business School Phone: +45-31194194 Skype: abid.hussain.it Email: ah.digi@cbs.dk Web: http://cssl.cbs.dk CBS, Copenhagen, Denmark
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    ‹#› Team Mr. Alessandro Michele Colombo Mr. Benjamin Flesch Mr.

    Kiran Kocherla Dr. Abid Hussain Dr. Raghava Mukkamala Dr. Raghava Mukkamala
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    ‹#› Agenda Conceptual Framework • Internet, Social Media, and Society

    • News: Real vs. Fake • Conceptual Model of Big Social Data Methodology • Analytical Framework: Social Set Analysis • Datasets • Facebook: Official Walls of Trump & Clinton • Twitter: Demographics • Twitter: Follower Biographies • Twitter: Tweets Archive for Trump & Clinton Results • Twitter: Demographics & Biographies • Fake News: Facebook Walls of Trump & Clinton • Fake News: Twitter Streams of Trump & Clinton
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    ‹#› Conceptual Framework • Internet, Social Media, and Society •

    News: Real vs. Fake • Conceptual Model of Big Social Data
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    ‹#› Conceptual Model: Big Social Data Social Data Actors Profiles

    Affiliations Relationships Interactions Actions Artefacts Activities Conversations Topic Features Affects
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    ‹#› News: Typology Sources: Tracking & Listing •OpenSources.Co •FakeNewsWatch •Fort

    Liberty •P2T2 Solutions •Lincoln Report •New Republic •Rational Wiki •Snopes •Urban Legends – About Entertainment Evaluating Online News: Real or Fake (OpenSources.Co) Step 1: Title/Domain Analysis Step 2: About Us Analysis Step 3: Source Analysis Step 4: Writing Style Analysis Step 5: Aesthetic Analysis Step 6: Social Media Analysis (OpenSources.Co) • Fake News (tag fake): Sources that entirely fabricate information, disseminate deceptive content, or grossly distort actual news reports • Satire (tag satire): Sources that use humor, irony, exaggeration, ridicule, and false information to comment on current events. • Extreme Bias (tag bias): Sources that come from a particular point of view and may rely on propaganda, decontextualized information, and opinions distorted as facts. • Conspiracy Theory (tag conspiracy): Sources that are well-known promoters of kooky conspiracy theories. • Rumor Mill (tag rumor): Sources that traffic in rumors, gossip, innuendo, and unverified claims. • State News (tag state): Sources in repressive states operating under government sanction. • Junk Science (tag junksci): Sources that promote pseudoscience, metaphysics, naturalistic fallacies, and other scientifically dubious claims. • Hate News (tag hate): Sources that actively promote racism, misogyny, homophobia, and other forms of discrimination. • Clickbait (tag clickbait): Sources that provide generally credible content, but use exaggerated, misleading, or questionable headlines, social media descriptions, and/or images. • Proceed With Caution (tag unreliable): Sources that may be reliable but whose contents require further verification. • Political (tag political): Sources that provide generally verifiable information in support of certain points of view or political orientations. • Credible (tag reliable): Sources that circulate news and information in a manner consistent with traditional and ethical practices in journalism (Remember: even credible sources sometimes rely on clickbait-style headlines or occasionally make mistakes. No news organization is perfect, which is why a healthy news diet consists of multiple sources of information).
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    ‹#› Methodology • Analytical Framework: Social Set Analysis • Datasets

    • Facebook: Official Walls of Trump & Clinton • Twitter: Demographics • Twitter: Follower Biographies • Twitter: Tweets Archive for Trump & Clinton
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    ‹#› Fake News: Facebook: Dataset: Trump vs. Clinton: 01-01-2016 to

    31-12-2016 Donald Trump’s Official Facebook Wall • Total Posts = 2,927 • Total Comments = 15,824,969 • Total Reactions = 237,458,525 • Total Like = 215,268,093 • Total Love = 14,763,834 • Total HaHa = 2,309,725 • Total Wow = 981,181 • Total Sad = 810,002 • Total Angry = 3,301,588 • Total Thankful = 23,680 • Total Pride = 422 Hillary Clinton’s Official Facebook Wall • Total Posts = 698 • Total Comments = 2,867,353 • Total Reactions = 27,823,946 • Total Like = 23,068,584 • Total Love = 3,199,042 • Total HaHa = 311,611 • Total Wow = 142,381 • Total Sad = 549,530 • Total Angry = 550,927 • Total Thankful = 1,789 • Total Pride = 82 Hillary Clinton’s Official Facebook Wall • Time Period: 01-01-2016 to 31-12-2016 • Total Posts = 2,119 • Time Period: 01-01-2016 to 14-10-2016 • Total Comments = 3,767,095 What’s Going On?
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    ‹#› Fake News: Twitter: Dataset: Trump vs. Clinton Donald Trump’s

    Official Twitter Account • Timespan: 04-05-2009 to 24-11-2017 • Total Tweets: 32,534 • Tweets with no links: 26,411 • Tweets with links: 6,123 • Total retweets (Trump retweeting other accounts): 490 • Total “received” retweets (number of retweets on Trump’s tweets): 80,907,209 • Total “received” favorites (number of retweets on Trump’s tweets): 273,440,922 • Average “received” retweets (number of retweets on Trump’s tweets): 2524.87 • Average “received” favorites (number of retweets on Trump’s tweets): 8533.29 Hillary Clinton’s Official Twitter Account • Timespan: 01-01-2015 to 04-11-2017 • Total Tweets: 7,534 • Tweets with no links: 3,635 • Tweets with links: 3,979 • Total retweets (Clinton retweeting other accounts): 43 • Total “received” retweets (number of retweets on Clinton’s tweets): 21,375,415 • Total “received” favorites (number of retweets on Clinton’s tweets): 53,182,225 • Average “received” retweets (number of retweets on Clinton’s tweets): 2823.70 • •Average “received” favorites (number of retweets on Clinton’s tweets): 7025.39
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    ‹#› Results • Twitter: Demographics & Biographies • Fake News:

    Facebook Walls of Trump & Clinton • Fake News: Twitter Streams of Trump & Clinton
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    ‹#› Conceptual Model: Big Social Data Social Data Actors Profiles

    Affiliations Relationships Interactions Actions Artefacts Activities Conversations Topic Features Affects
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    ‹#› Conceptual Model: Big Social Data Social Data Actors Profiles

    Affiliations Relationships Interactions Actions Artefacts Activities Conversations Topic Features Affects
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    ‹#› Fake News: Twitter: Dataset: Trump vs. Clinton Donald Trump’s

    Official Twitter Account • Timespan: 04-05-2009 to 24-11-2017 • Total Tweets: 32,534 • Tweets with no links: 26,411 • Tweets with links: 6,123 • Total retweets (Trump retweeting other accounts): 490 • Total “received” retweets (number of retweets on Trump’s tweets): 80,907,209 • Total “received” favorites (number of retweets on Trump’s tweets): 273,440,922 • Average “received” retweets (number of retweets on Trump’s tweets): 2524.87 • Average “received” favorites (number of retweets on Trump’s tweets): 8533.29 Hillary Clinton’s Official Twitter Account • Timespan: 01-01-2015 to 04-11-2017 • Total Tweets: 7,534 • Tweets with no links: 3,635 • Tweets with links: 3,979 • Total retweets (Clinton retweeting other accounts): 43 • Total “received” retweets (number of retweets on Clinton’s tweets): 21,375,415 • Total “received” favorites (number of retweets on Clinton’s tweets): 53,182,225 • Average “received” retweets (number of retweets on Clinton’s tweets): 2823.70 • •Average “received” favorites (number of retweets on Clinton’s tweets): 7025.39