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#ThisIsNotNormal: How a Moment Created a Movement
- 1. #ThisIsNotNormal How a Moment Created a Movement
- 2. What is #ThisIsNotNormal? • Stemmed from the shock of events which followed the inauguration of DT. ⚫Themes evident in word cloud • Movement to denounce DT’s presidency and remind people that the changes occurring should concern them. ⚫Sexism and Islamophobia in the White House ⚫Ties to Russia excused ⚫Inexperience of people being put in important positions • Stemmed from moments of shock when different stories broke; has turned into a catchphrase used in resistance.
- 4. Word Cloud #Bannon #StopPresidentBannon #Resist #TheResistance #Putin #NSC These different events and pieces have been linked by the hashtag, which has become part of the terminology of this “resistance.”
- 5. Social Network Analysis Ran for 10 minutes Ran for 1 hour
- 6. Locating #ThisIsNotNormal Within the Context of Algorithm & Biopolitics “Algorithm ultimately exercises control over us...the processes of soft biopower work in a similar fashion… New cybernetic category constructions are the consequence of this modularity and ultimately allow for a ‘free,’ but constantly conditioned, user.” (Cheney Lippold, 2011, 178) • Algorithm places users in “categories of identity” and persuades users toward normalized behaviors. (Cheney Lippold, 2011, 177) • Impact of algorithm on the #ThisIsNotNormal movement? • Filter Bubble can provide insight on disconnect between networks.
- 7. Conclusion & Future Implications • #ThisIsNotNormal turned a moment into a movement. • Is the data useful? ⚫Not big data (Kate Crawford), and not very useful on its own. ⚫Should combine this data with data about other hashtags to tell a better story. ⚫Look to word cloud and SNA to determine which hashtags and networks to look at. • Future questions: ⚫Will DT’s presidency be normalized? ⚫Is this “resistance” sustainable? ⚫How will algorithm affect the online movement?
- 8. Works Cited boyd, danah and Kate Crawford. 2012. “Critical Questions for Big Data.” Information, Communication & Society 15 (2): 662-79. Baer, Drake. ‘The ‘Filter Bubble’ Explains Why Trump Won and You Didn’t See It Coming.” Science of US. NY Mag, 2017. http://nymag.com/scienceofus/2016/11/how-facebook-and-the-filter-bubble- pushed-trump-to-victory.html Cheney-Lippold, John. “A New Algorithmic Identity: Soft Biopolitics and the Modulation of control.” Theory, Culture and Society, 2011: 177-178.