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HASHTAG HARASSMENT. Twitter communities of awareness about sexual harassment in # egypt. #Harassment . Harassment in #Egypt is staggering … 83% women report getting harassed 2.4% actually report it to police Twitter breaking down the cultural taboo of talking about harassment.

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hashtag harassment

HASHTAG HARASSMENT

Twitter communities of awareness about sexual harassment in #egypt

harassment
#Harassment
  • Harassment in #Egypt is staggering …
  • 83% women report getting harassed
  • 2.4% actually report it to police
  • Twitter breaking down the cultural taboo of talking about harassment
research goals
Research goals
  • What hashtags are used in discourse related to sexual harassment occurring in Egypt?
  • What do these hashtags reveal about the tweeter?
  • What is the purpose of these hashtags?
  • What patterns emerge among tweets that reveal a certain constructed discourse?
  • Do hashtags build a community of discourse? What are the metamessages of those communities?
ambient affiliation a linguistic perspective on twitter michele zappavigna @ smlinguist
Ambient affiliation: A linguistic perspective on Twitter Michele Zappavigna/ @SMLinguist
  • “a typographic convention, the hashtag, has extended its meaning potential to operate as a linguistic marker referencing the target of evaluation in a tweet … This both renders the language searchable and is used to upscale the call to affiliate with values expressed in the tweet. We are currently witnessing a cultural shift in electronic discourse from online conversation to such ‘searchable talk’…‘hashtags’ function as linguistic markers enacting the following social relation:
  • ‘Search for me and affiliate with my value!’.
methodology
methodology
  • Type of tweet
    • 1. Speech act
    • 2. Retweet
    • 3. Conversational
    • 4. News
    • 5. Admonishment (e.g. #endSH)
  • Positive or Negative
    • 1. Positive
    • 2. Negative
    • 3. Neutral
  • Type of tweeter
    • 1. Individual
    • 2. News organization
    • 3. NGO
    • 4. Other institutions
  • Location of tweeter
    • 1. In Egypt
    • 2. Outside of Egypt
  • Language
    • 1. English
    • 2. Arabic
    • 3. Diaglossia (Eng+Arab)
    • 4. Other
  • Sex of Tweeter
    • 1. Female
    • 2. Male
    • 3. N/A (e.g. organization)
  • Nationality of Tweeter
    • 1. Egyptian
    • 2. Other Arab country
    • 3. International, non-Arab Country
tweet mining
Tweet mining
  • Tweetarchivist.com
  • Google Reader

#endSH / 513 tweets in archive

results loading
Results (Loading … )
  • Tweet Archivist #endSH
conclusion fewer than 140 characters
Conclusion (fewer than 140 characters)
  • How many data points is 2 much? 2 many coded categories?
  • Does #endSH automatically mean code 2 (admonishment). What abt multiple codes?
  • RTs take up 2 much space … include or not include. Think of Tannen’s constructed dialogue..
  • TAKEAWAYS THUS FAR
  • For English hashtags, apr. 75% of tweets are in english, the rest Arabic or diglossia
  • Arabic Hashtags 99% arabic tweets
  • Diglossia use most prevalent with arabic tweet, enghashtag
  • So far most are negative
  • Reactions or live reporting of harassment may not be in a hashtag (!)