Analysis of Hashtag #OregonUnderAttack

Number of tweets collected from 2PM to 10PM: 9,186

Number of unique tweets collected during that time period: 1,700

Most retweeted users:

https://twitter.com/cenkuygur (198 retweets)

https://twitter.com/rolandsmartin (159 retweets)

https://twitter.com/BernSanders2016 (136 retweets)

https://twitter.com/Marmel (107 retweets)

https://twitter.com/KhaledBeydoun (94 retweets)

https://twitter.com/tariqnasheed (75 retweets)

https://twitter.com/CraigCons (68 retweets)

https://twitter.com/SAVAGESPINOSA (63 retweets)

https://twitter.com/TariqToure (62 retweets)

https://twitter.com/PrisonPlanet (56 retweets)

Most prolific tweeters:

https://twitter.com/manxsv (12 tweets)

https://twitter.com/xmansv (9 tweets)

https://twitter.com/rnadna2 (8 tweets)

https://twitter.com/GenXMedia (7 tweets)

https://twitter.com/dnchatesbernie (5 tweets)

Analysis of results:

Of the 5 most prolific tweeters, mansxv is a hyper-partisan Republican, xmansv appears to be a copy of the mansxv account and is also a hyper-partisan Republican. rnadna2 is a hyper-partisan Democrat. GenXMedia is a hyper-partisan Democrat. dnchatesbernie is a hyper-partisan Leftist, who notably sends out hundreds of identical tweets every 15 minutes or so.

Of the most prolific retweeted users, Cen Kuygur is host of The Young Turks, a hyper-partisan left-leaning news show. Roland S. Martin is a television host and reporter on a non-partisan morning show. BernSanders2016 appears to be a Bernie Sanders supporter’s account. Steve Marmel is a writer with a leftist bent. Khaled Beydoun is a leftist law professor. TariqNasheed is a leftist TV and radio host and producer.

Conclusion:

If you were searching through the live twitter feed under the #OregonUnderAttack hashtag, you would have seen, on average, more popular hyper-partisan Republican-biased tweets, with a higher quantity of less popular hyper-partisan Left-biased tweets. If you browsed the #OregonUnderAttack hashtag and only looked at the most popular tweets (twitter’s default view), you would have seen significantly more Left-biased tweets.