Social Science Data: Social Media

49 social media datasets are made available on data.world.

"The first interactive data and network repository with real-time analytics. Network repository is not only the first interactive repository, but also the largest network repository with thousands of donations. This large comprehensive collection of network graph data is useful for making significant research findings as well as benchmark data sets for a wide variety of applications and domains (e.g., network science, bioinformatics, machine learning, data mining, physics, and social science) and includes relational, attributed, heterogeneous, streaming, spatial, and time series data as well as non-relational machine learning data. All data sets are easily downloaded into a standard consistent format."

Datasets: Flickr, LiveJournal, Orkut, YouTube, and Facebook data plus Twitter topology data and Twitter spammer data. "The social computing group is developing computational methods for processing and analyzing large scale social data, aiming to understanding complex social behavior and to inform the design of human-centered and socially aware systems. In recent research we studied the emergence of conventions in Twitter, we developed methods for preventing spam in social networks, and we proposed a framework for tracking the relation between a user and its community."

"The SNAP library is being actively developed since 2004 and is organically growing as a result of our research pursuits in analysis of large social and information networks."

"On Flickr, photos, their metadata, their social ecosystem, and the pixels themselves make for a vibrant environment for answering many research questions at scale. However, scientific efforts outside of industry have relied on various sized efforts of one-off datasets for research. At Flickr and at Yahoo Labs, we set out to provide something more substantial for researchers around the globe." Today, we are announcing the Flickr Creative Commons dataset as part of Yahoo Webscope’s datasets for researchers. The dataset, we believe, is one of the largest public multimedia datasets that has ever been released—99.3 million images and 0.7 million videos, all from Flickr and all under Creative Commons licensing. The dataset (about 12GB) consists of a photo_id, a jpeg url or video url, and some corresponding metadata such as the title, description, title, camera type, title, and tags. Plus about 49 million of the photos are geotagged..."

"I have every publicly available Reddit comment for research. ~ 1.7 billion comments @ 250 GB compressed. Any interest in this?" "1.7 Billion JSON [JavaScript Object Notation] objects complete with the comment, score, author, subreddit, position in comment tree and other fields that are available through Reddit’s API."

"Previously, we’ve posted other social media data compilations. Today, we will focus on the world’s most popular forum site, Reddit. This guide will introduce the top 10 Reddit datasets for machine learning. Known as “the front page of the internet,” Reddit is a forum/social media site where users can post virtually anything and everything. Unlike Facebook, Twitter, or Instagram, the majority of Reddit users remain anonymous. Reddit moderators strictly censor and curate the subforums, known as subreddits. However, anonymity allows people to say what they want in whatever manner they wish. Therefore, Reddit comments and posts are perfect for testing and training numerous natural language processing (NLP) models."

"467 million Twitter posts from 20 million users covering a 7 month period from June 1 2009 to December 31 2009. We estimate this is about 20-30% of all public tweets published on Twitter during the particular time frame."

"This dataset is a collection of scraped public twitter updates used in coordination with an academic project to study the geolocation data related to twittering. From the explanatory PDF in the dataset collection:"

"Over 3 million tweets and replies from the biggest brands on Twitter."

"With emoticons removed and six formatting categories, this collection of 160,000 tweets is particularly useful for brand management and polling purposes."

“As the Supreme Court has recognized, social media sites like Facebook and Twitter have become important venues for users to exercise free speech rights protected under the First Amendment. Commentators and legislators, however, have questioned whether these social media platforms are living up to their reputation as digital public forums..."