DOI: 10.3886/icpsr37447.v1
title: #MeToo Tweet IDs, October 15-28, 2017
title: #MeToo 2017
title: Version 1

description: This collection of tweet IDs pertains to the first two weeks of the #MeToo hashtag campaign in October 2017. During this time period there were over 1.5 million tweets with the #MeToo hashtag. Tweets containing the hashtag #MeToo were collected retroactively from a full historical Twitter Firehose (100%) collection, and reply threads in response to those tweets were separately collected from Twitter. According to Twitter Terms of Service, full tweet objects cannot be disseminated, but the tweet IDs can be rehydrated through Twitter's public GET statuses/lookup API endpoint. The available data for this study exist in one zipped folder containing 28 files. There are 14 .csv files, one for each day, between October 15th to October 28th, containing the tweet ID with one tweet ID appearing per line. Each file only contains a single column of data (tweet_id). There were on average 109,237 tweets per day during this two-week period ranging between 16,074 to 528,143 tweets per day. Tweets must have been public and not deleted or taken down at the time of collection in order to appear in this dataset. The other 14 .csv files correspond to the reply threads for each day in response to tweets containing the hashtag #MeToo. Each line indicates the tweet ID of a reply in a thread of replies to a #MeToo tweet (tweet_id) and the tweet ID of the tweet immediately preceeding that tweet in the reply thread (in_reply_to_tweet_id) as comma-separated values. There were on average 21,072 replies to tweets per day during this period with a range of 2,388 to 110,789 replies per day.
description: The temporal focus of this data collection of the first two weeks of the #MeToo campaign was to study the direct, public disclosures of sexual violence on Twitter, and to study the social support structures that emerge around such disclosures.
description: The following presents a list of the number of tweets and replies for each of the 14 days during the initial #MeToo movement of October 2017. Sunday, October 15th: 24,265 tweets / 4,896 replies; Monday, October 16th: 528,143 tweets / 110,789 replies; Tuesday, October 17th: 414,188 tweets / 79,715 replies; Wednesday, October 18th: 186,381 tweets / 39,421 replies; Thursday, October 19th: 108,574 tweets / 18,535 replies; Friday, October 20th: 58,344 tweets / 9,118 replies; Saturday, October 21st: 34,448 tweets / 5,296 replies; Sunday, October 22nd: 36,243 tweets / 5,923 replies; Monday, October 23rd: 26,912 tweets / 3,882 replies; Tuesday, October 24th: 28,989 tweets / 4,112 replies; Wednesday, October 25th: 27,451 tweets / 3,992 replies; Thursday, October 26th: 19,846 tweets / 3,437 replies; Friday, October 27th: 19,464 tweets / 3,505 replies; Saturday, October 28th: 16,074 tweets / 2,388 replies;
description: Datasets: DS1: Dataset
description: Tweets from Twitter that contained, quoted, or retweeted a tweet containing the hashtag #MeToo, and replies (not necessarily containing #MeToo) threaded in response to those tweets. Smallest Geographic Unit: None
description: Tweets were collected from a full (100%) Twitter Firehose collection if they contained the hashtag #MeToo or retweeted a tweet containing the hashtag #MeToo. Those tweets were later rehydrated via their tweet IDs through Twitter's publicGET statuses/lookupAPI endpoint. Tweets must have been public and not deleted or taken down at the time of collection in order to appear in this dataset. Replies were collected in response to #MeToo tweets. Replies were collected iteratively so that entire reply threads in response to #MeToo tweets could be collected. Replies were only collected if they came within 2 days of the original tweets and did not extend beyond the upper window of the study, October 28th, 2017. As with the #MeToo tweets, tweets must have been public and not deleted or taken down at the time of collection in order to appear in this dataset.