Anti-Semitic Targeting of Journalists During the 2016 Presidential Ca | Seite 2
KEY FINDINGS
• Based on a broad set of keywords (and keyword combinations)
designed by ADL to capture anti-Semitic language, there were
2.6 million tweets containing language frequently found in antiSemitic speech between August 2015 – July 2016.
• These tweets had an estimated 10 billion impressions (reach),
which may contribute to reinforcing and normalizing antiSemitic language on a massive scale.
• At least 800 journalists received anti-Semitic tweets with an
estimated reach of 45 million impressions. The top 10 most
targeted journalists (all of whom are Jewish) received 83
percent of these anti-Semitic tweets.
• 1,600 Twitter accounts generated 68% of the anti-Semitic
tweets targeting journalists. 21% of these 1,600 accounts
have been suspended in the study period, amounting to 16%
of the anti-Semitic tweets.
• Sixty percent of the anti-Semitic tweets were replies to
journalists’ posts (11% were regular Tweets and 29% retweets). In other words, anti-Semitism more often than not
occurred in response to journalists’ initial posts.
overall
data pull
based on keywords correlating
with anti-Semitism
2,641,072
Total mentions
2015
2016
from August 1,
2015 through
July 31, 2016
contained these
keywords
10,000,000,000
Number of estimated impressions generated
66%
Percentage of tweets posted by male
users, based on user-disclosed details
• There was a significant uptick in anti-Semitic tweets in
the second half (Jan-July 2016) of this study period. This
correlates to intensifying coverage of the presidential campaign,
the candidates and their positions on a range of issues.
• There is evidence that a considerable number of the anti-Semitic tweets targeting journalists originate with
people identifying themselves as Trump supporters, “conservatives” or extreme right-wing elements. The
words that show up most in the bios of Twitter user’s sending anti-Semitic tweets to journalists are “Trump,”
“nationalist,” “conservative,” “American” and “white.” This finding does not imply that Mr. Trump supported
these tweets, or that conservatives are more prone to anti-Semitism. It does show that the individuals
directing anti-Semitism toward journalists self-identified as Trump supporters and conservatives.
• While anti-Semitic tweets tended to spike in the wake of election-related news coverage, the language used
in the anti-Semitic tweets was not solely election-related. Many tweets referenced classic anti-Semitic tropes
(Jews control the media, Jews control global finance, Jews perpetrated 9/11, etc.). This suggests that while
the initial provocation for anti-Semitic tweets may have been at least nominally election-related, the Twitter
users generating targeted anti-Semitism may have used news events as an excuse to unleash anti-Semitic
memes, harassment, etc.
• The words most frequently used in anti-Semitic tweets directed at journalists included “kike,” “Israel,”
“Zionist,” and “white” etc., an indication that the harassment may have been prompted by the perceived
religious identity of the journalist.
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