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Twitter analysis of
#NoBanNoWall
JENNIFER TRAN
FINAL PRESENTATION AMST 311 DATA DRIVEN CULTURES
#NoBanNoWall: An issue on U.S.
immigration
Hashtag intended as anti-Trump response to new immigration policies:
◦ U.S. – Mexican border
◦ Muslim immigration
◦ Sanctuary cities
Topic important to both U.S. and internationally:
Domestic: 13.5 percent of U.S. immigrants, diverse country
International: Countries elsewhere facing similar issues
Time Frame (February 1 to 4, 2017) after executive order on travel ban of seven
predominantly Muslim countries
Main Findings
Users of hashtag attempted to talk to Donald Trump and reach out to individuals
who supported him
Discussed Muslim Ban, not other components of issue (Due to time frame)
Word Graph
Resistance-related words (i.e.
theresistance, protest)
Muslim ban only
No mention of wall and sanctuary
cities
Social Network
Analysis Graph
Different sides of issues are
connected, attempt to get
attention from one another
Reply to individuals tweets that
opposed their views (ex. ACLU
reply to conservative)
What happens when you tweet opposing
side? (Literature Review)
John Cheney Lippold
o Biopower - ”’Power over life’ through management of subjects at level of
population”
o You may tweet something criticizing or opposing Trump, but since you
tweeted or replied to him a lot, you may be categorized as a Trump supporter.
Katrin Tiidenberg and Nancy K. Baym
◦ Reigning discourses vs. Conforming about pregnant women on social media
◦ Expectation of what you can do and cannot do on social media.
◦ Resistance: Should you tweet Trump or not?
Citations
Amatulli, J. January 16. “Americans Respond To Trump’s Plans For Country With
#NoBanNoWall,” 2017, http://www.huffingtonpost.com/entry/trump-plans-nobannowall-
hashtag_us_588a20f8e4b0024605fe3866
Cheney-Lippold, John. 2011. “A New Algorithmic Identity: Soft Biopolitics and the
Modulation of Control.” Theory, Culture & Society 28 (6): 164–81.
Tiidenberg, Katrin, and Nancy K. Baym. 2017. “Learn It, Buy It, Work It: Intensive Pregnancy
on Instagram.” Social Media + Society 3 (1): 2056305116685108.

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Final Twitter Analysis of #NoBanNoWall

  • 1. Twitter analysis of #NoBanNoWall JENNIFER TRAN FINAL PRESENTATION AMST 311 DATA DRIVEN CULTURES
  • 2. #NoBanNoWall: An issue on U.S. immigration Hashtag intended as anti-Trump response to new immigration policies: ◦ U.S. – Mexican border ◦ Muslim immigration ◦ Sanctuary cities Topic important to both U.S. and internationally: Domestic: 13.5 percent of U.S. immigrants, diverse country International: Countries elsewhere facing similar issues Time Frame (February 1 to 4, 2017) after executive order on travel ban of seven predominantly Muslim countries
  • 3. Main Findings Users of hashtag attempted to talk to Donald Trump and reach out to individuals who supported him Discussed Muslim Ban, not other components of issue (Due to time frame)
  • 4. Word Graph Resistance-related words (i.e. theresistance, protest) Muslim ban only No mention of wall and sanctuary cities
  • 5. Social Network Analysis Graph Different sides of issues are connected, attempt to get attention from one another Reply to individuals tweets that opposed their views (ex. ACLU reply to conservative)
  • 6. What happens when you tweet opposing side? (Literature Review) John Cheney Lippold o Biopower - ”’Power over life’ through management of subjects at level of population” o You may tweet something criticizing or opposing Trump, but since you tweeted or replied to him a lot, you may be categorized as a Trump supporter. Katrin Tiidenberg and Nancy K. Baym ◦ Reigning discourses vs. Conforming about pregnant women on social media ◦ Expectation of what you can do and cannot do on social media. ◦ Resistance: Should you tweet Trump or not?
  • 7. Citations Amatulli, J. January 16. “Americans Respond To Trump’s Plans For Country With #NoBanNoWall,” 2017, http://www.huffingtonpost.com/entry/trump-plans-nobannowall- hashtag_us_588a20f8e4b0024605fe3866 Cheney-Lippold, John. 2011. “A New Algorithmic Identity: Soft Biopolitics and the Modulation of Control.” Theory, Culture & Society 28 (6): 164–81. Tiidenberg, Katrin, and Nancy K. Baym. 2017. “Learn It, Buy It, Work It: Intensive Pregnancy on Instagram.” Social Media + Society 3 (1): 2056305116685108.

Editor's Notes

  1. Hello, I am Jennifer and throughout the semester, I analyzed the hashtag #nobannowall on Twitter
  2. This topic is very important because it relates to the issue of U.S. immigration. The hashtag was created as an anti-Trump response to his new immigration policies particularly on the U.S.-Mexican border wall, Muslim immigration, and lack of protection and funding for sanctuary cities. The topic is important domestically and internationally. 13.5 percent of the U.S. are immigrants. Internationally, countries face challenges when accepting and integrating new immigrants. I analyzed my hashtag right after Trump signed the executive order that banned U.S. travel from seven predominantly Muslim countries.
  3. I found that that Users of hashtag attempted to talk to Donald Trump and reach out to individuals who supported him, Discussed Muslim Ban, not other components of issue (Due to time frame)
  4. In my word graph, I found that users included many resistance-related words to defy Trump including protest, impreach, resistance. All of the words related to the Muslim ban, not other components of the topic such as the wall or sanctuary cities.
  5. In my social network analysis graph, I found that different groups that had different viewpoints of the issues were connected and actively talked to one another about the issue. In particularly, users tried to reply to individual tweets that opposed their views with contradicting statements. For example, ACLU responded to conservatives about the success of immigrants.
  6. My findings relate to two articles read in class. Cheney Lippold defines that the Biopower - ”’Power over life’ through management of subjects at level of population.” You may tweet something criticizing or opposing Trump, but since you tweeted or replied to him a lot, you may be categorized as a Trump supporter. Katrin Tiidenberg and Nancy K. Baym discuss about how reigning discourses vs. conformity about pregnant women on social media. Pregnant women gain self worth and social capital if they have the resources to show off various materialistic stages of their pregnancy. Yet, if they do not have the resources to buy so many expensive items for their baby and themselves, they are not as well-known. For people within the resistance, should they tweet Trump or not?