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Public Domain Anti-Violence Twitter Data
Social Media and Posts
Tags and Keywords
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Free
About
This collection provides granular insight into global discussions surrounding violence prevention and awareness on social media. The data consists of tweets gathered via the Twitter API using a query targeting the high-frequency hashtag #ENDviolence. This resource is valuable for observing user engagement, tracking evolving discourse, and analysing social media trends related to this critical topic.
Columns
The dataset contains 13 fields primarily covering user metadata and tweet content:
- user_name: The account name of the user who posted the tweet.
- user_location: The location specified by the user in their profile. Note that 38% of records have missing location data, but notable locations like the Islamic Republic of Iran are present.
- user_description: The self-written description from the user's profile.
- user_created: The date the user account was created, spanning from 2008-08-20 up to 2021-11-20.
- user_followers: The total number of followers the user had.
- user_friends: The total number of accounts the user is following.
- user_favourites: The number of tweets the user has favourited.
- user_verified: A boolean indicator showing whether the user is a verified account (very few are verified).
- date: The specific date and time the tweet was posted, heavily concentrated around 19 and 20 November 2021 in this sample.
- text: The full content of the tweet, including mentions and embedded hashtags.
- hashtags: A list of hashtags included in the tweet.
- source: The platform or application used to post the tweet, such as 'Twitter for Android' or 'Twitter for iPhone'.
- is_retweet: A boolean indicator; this sample shows no records are retweets.
Distribution
The data file, named ENDviolence_tweets.csv, is available in CSV format and totals 3.12 MB. It contains 10,000 records across 13 distinct fields. The expected update frequency for this dataset is quarterly.
Usage
This collection is ideal for various analytical applications, including:
- Sentiment Evaluation: Determining the general mood or attitude expressed in the tweets regarding violence and its prevention.
- Trend Analysis: Identifying patterns, peaks, and shifts in the conversation over time.
- Subject Dive: Understanding the specific subtopics and subjects that commonly appear alongside the #ENDviolence hashtag.
- Geographical Studies: Looking into the distribution of users engaging with the hashtag, despite a significant amount of missing location data.
Coverage
The dataset specifically covers content associated with the hashtag #ENDviolence. Although data collection began on 01/01/2021, the collected records in this sample are concentrated around November 2021. Geographically, coverage is global but highly fragmented, reflecting user-reported locations which exhibit diversity, including specific mentions like the Islamic Republic of Iran.
License
CC0: Public Domain
Who Can Use It
This collection is suitable for social scientists performing discourse analysis, non-governmental organisations (NGOs) monitoring public awareness, and marketing analysts interested in social network engagement surrounding major current events. Researchers focused on text mining and online communities will find the raw tweet data useful for model training and linguistic analysis.
Dataset Name Suggestions
- Global Anti-Violence Discourse Tweets
- Social Media Activity: #ENDviolence Hashtag
- Public Domain Anti-Violence Twitter Data
- Quarterly #ENDviolence Social Network Collection
Attributes
Original Data Source: Public Domain Anti-Violence Twitter Data
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