Why Focus On white Narratives?

CJ
by cass jacoby0 views·Updated Apr 23, 2021

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  1. Hello. My name is Castro Coby, and I'm going to
  2. be talking about race and the Me Too movement, specifically
  3. how social media shaped the narrative surrounding this hash tag.
  4. Um looking at this from about three years out and
  5. what that means for the future of this movement.
  6. So, Me Too, began in 2000 and six to appropriate
  7. to address the disproportionate sexual assault experiences in marginalized communities.
  8. The hashtag, as we now know.
  9. It, however, gained traction in 2016 by Alyssa Milano, and
  10. it brought a conversation about sexual assault to the forefront
  11. of cultural conversation and ushered in an age of accountability
  12. for specifically white high profile celebrity women who came forward
  13. about their experiences um with a certain producer.
  14. Three years later, it's really clear that this movement centered
  15. on white privileged celebrity spokespeople who neglected to meaningfully interact
  16. with an intersectional understanding of sexual violence.
  17. Um and looking at those critiques.
  18. Um, I come to the conclusion that this has become
  19. a white feminist movement.
  20. And so a big part of my research is trying
  21. to ask how how did social media interact with this.
  22. So, I'm looking at factors that lead into hashtag visibility
  23. and social media, how social media creates narratives that reshape
  24. a movement, um looking at echo chambers and how they're
  25. created within social media to solidify biases and cultural mythologies.
  26. So, my number one research question is, does twitter's platform
  27. focus on white women.
  28. And before I get too far into my presentation, I
  29. just want to address my own whiteness that I undeservedly
  30. benefit from being a white woman and that it is
  31. my intent within this research to address my own privilege
  32. and power and address how they interact with this movement.
  33. Um Yeah, yes.
  34. So, within my literature review, I looked at a variety
  35. of sources, but the main trajectory of what I read
  36. was how the message constantly pushed by news coverage at
  37. the height of me to was clearly that sexual assault
  38. was a white woman issue, an individual issue.
  39. It was not systematic.
  40. It didn't really account for the many different types of
  41. sexual assault that happens or what a power play it
  42. is or how it Doesn't look like one kind of
  43. thing. Um, and this is really underlined by a double
  44. standard that happened in reception, where a lot of bipac
  45. women got a lot of lash back.
  46. Um, I mean, backlash, whoa, backlash and um what that
  47. did is it legitimized one type of sexual assault in
  48. a privileged group from all other types of sexual assault
  49. situations that happen.
  50. And it really blurred the conception of how race and
  51. sex complicate each other and how women who are a
  52. part of who are queer who are low income of
  53. any type of matrix of being experience sexual assault differently
  54. than these white privileged women.
  55. Um, and in promoting white feminism's promotion over an intersectionality,
  56. practice the Me Too movement denied how patriarchy oppresses women
  57. past gender differences and inadvertently s centralizes white women victimization
  58. as what this is.
  59. And by doing that, it maintained a status quo around
  60. sexual assault.
  61. Um there's an indigenous feminist scholar named Sandy Ground who
  62. talks about how she uses the term white streaming, and
  63. it's to talk about how um focusing on new york
  64. pain as a white woman basically makes it difficult for
  65. you to do the intersectional work necessary to recognize how
  66. you oppress other women and how patriarchy and white supremacy
  67. are part of the tools that happen within sexual assault
  68. and within gender differences.
  69. Um and talking only about how gender interacts, denies how
  70. many different ways that this interacts within our world.
  71. So specifically looking at the research I did, I wanted
  72. to find out how the hashtag was being used in
  73. 2021 and who had the loudest voice on the platform.
  74. I looked at top tweets from January to March 2021
  75. this year.
  76. Um specifically looking under the Hashtag Metoo Hashtag and analyzing
  77. what demographics were tweeting about what topic and what saturated
  78. at least my feed.
  79. Um I excluded replies and links.
  80. I didn't want to get a lot of promotions and
  81. I wanted to see how people originated conversations within this
  82. movement. I was really focused less on people identifying um
  83. Youtube discourse and more on how they're showing up to
  84. the discourse.
  85. Um and there's many limitations to this.
  86. The first being this was pulled from my personal twitter
  87. account that has a decade of data on me.
  88. Um it knows I'm white, it knows I'm female, it
  89. knows Eileen progressive and because this research is so focused
  90. on addressing echo chambers and what comes up, I would
  91. be admitted if I didn't talk about how the algorithm
  92. organizes content based off of my identity and what it
  93. knows about me.
  94. So looking at this, I want to go forward with
  95. the probability that the search results have been skewed for
  96. my identity.
  97. Um and to point out how at least on my
  98. twitter feed as a white woman, I'm not really seeing
  99. a lot of intersectional stories.
  100. Um I also know account for incomplete snapshots.
  101. This data is centered around account presentation largely looking at
  102. profile pictures and bios to distinguish what demographic this was
  103. coming from.
  104. This means tweets that are anonymous aren't a part of
  105. the data um and they're not really represented in a
  106. distinct category.
  107. Um I don't know why the rest of this slide
  108. didn't quite load, but it also means that a lot
  109. of the data collected doesn't really address gender or low
  110. income or sexuality.
  111. When I want to highlight it's dangerous to categorize race
  112. and gender and sexuality and all these things is different,
  113. all of these different types of being informed each other
  114. and inform the kind of situations people will be placed
  115. in. Um I also want to point out that only
  116. looking at hashtag Metoo ignores a lot of other counter
  117. me to communities that are formed that specifically talk about
  118. violence experienced by women within marginalized communities during this time
  119. hashtag we ourselves we started by burke, which is specifically
  120. meant to be a hashtag that's not easily co opted
  121. by white women for black women's sexual assault experiences.
  122. So definitely skewed the data.
  123. Um and what I found looking at this was that
  124. um across the board white women were absolutely centered, as
  125. like the dominant discourse within the twitter feed.
  126. White women use the hashtag more and across the board
  127. throughout every single month uh dominated the whole conversation.
  128. So looking specifically at this one, um the collective data
  129. through january and March of just this year, um it
  130. clearly shows that female voices dominate the discourse.
  131. Um White women made up about 46 of the hashtag
  132. pretty consistently.
  133. Um and twitter, at least through my search bar, focuses
  134. on white women more than any other demographic.
  135. Um so clearly white women's voices are amplified.
  136. Um and I want to bring up that within this
  137. research, I'm not seeking to discourage or discredit white women
  138. from sharing their stories, but to highlight how white privilege
  139. extends into a technological space.
  140. Um I also want to raise the possibility that due
  141. to the data on me that informed the search results,
  142. I may be found so many different white voices because
  143. I'm a white woman.
  144. Um twitter search twitter organizes its search results, top tweets
  145. latest tweets off of an algorithm that is based off
  146. of the likelihood that you will want to see that
  147. tweet. Um and I mentioned this within my analysis to
  148. highlight how impossible objectivity is in the context of social
  149. media. Um the social media sphere is not merely the
  150. objective and even playing field that we believed it to
  151. be when the hashtag feminism activism began, um even