Skip to content

Deen Freelon, Ph.D.

Associate professor, Hussman School of Journalism and Media, UNC-Chapel Hill

Author: dfreelon

Beyond the Hashtags Twitter data

On January 3, 2017 By dfreelon In Uncategorized

In Appendix A of the public report “Beyond the Hashtags: #Ferguson, #Blacklivesmatter, and the Online Struggle for Offline Justice,” my coauthors and I promised to release our Twitter data publicly in 2017. The time has …

Continue reading

Social media collection tools: A curated list

On January 22, 2015 By dfreelon In computational social science, scholarly tools

A few months back I started a crowdsourced list of social media data collection tools. A few folks tweeted it today, which reminded me that I never posted it to my website. At the time I …

Continue reading

Comm depts.: Want to excel in computational methods? Do these four things.

On October 13, 2014 By dfreelon In communication

Big Data. Computational social science. Data science. Analytics. These buzzwords are everywhere these days—business, government, the nonprofit sector, you name it—and the social sciences are no different. The question of what to do about the …

Continue reading

Co-citation map of 9 comm journals, 2003-2013

On September 5, 2013 By dfreelon In communication, social network analysis

[View the map. You’ll need an up-to-date browser with Javascript enabled.] In an effort to better understand the theoretical landscape of my chosen academic field, I have created a co-citation network visualization based on bibliographies found …

Continue reading

T2G 0.3: Visualize only RTs or mentions in Gephi

On July 10, 2013 By dfreelon In gephi, twitter

I just completed a new version of the Python version of T2G which adds a few new features. Most prominent among these is the ability to extract only retweets or only mentions for visualization in …

Continue reading

T2G: Convert (all) Twitter mentions to Gephi format

On May 14, 2013 By dfreelon In gephi, twitter

EDIT 07/10/13: A new version of T2G for Python has been posted here–it has options to extract only retweets or only mentions, among other new features. A few weeks ago I posted a spreadsheet that converted …

Continue reading

Twitter geolocation and its limitations

On May 12, 2013 By dfreelon In twitter

A couple recent articles have gotten me thinking about methods for geolocating Twitter users: Kalev Leetaru et al.’s recent double-sized piece in First Monday explaining how to identify the locations of users in the absence …

Continue reading

Spreadsheet converts tweets for social network analysis in Gephi

On April 26, 2013 By dfreelon In gephi, social network analysis

EDIT 05/15/13: I’ve posted two scripts, one in PHP and one in Python, that overcome the main limitation of this spreadsheet–they pull in all mentioned names rather than just the first one. Download one or both here. …

Continue reading

What resonated with Obama’s and Romney’s Facebook followers?

On November 4, 2012 By dfreelon In campaign 2012, internet & politics

As the nation waits to find out who our next president will be, I thought it would be interesting to take a quick look at how Obama’s and Romney’s Facebook followers reacted to content posted …

Continue reading

Arab Spring Twitter data now available (sort of)

On February 11, 2012 By dfreelon In net politics, twitter

Update 2/21/2012: As my colleague Alex Hanna recently informed me, up to 2% of the archives below may consist of duplicate tweet IDs. If you intend to work with this data, I highly recommend removing …

Continue reading

Posts navigation

1 2 3 4 Next Posts»
  • home
  • cv/pubs
  • blog
  • utilities
  • contact
  • ReCal for Ordinal, Interval, and Ratio Data (OIR)
  • ReCal: reliability calculation for the masses
  • ReCal2: Reliability for 2 Coders
WordPress Theme: Chronus by ThemeZee.
7ads6x98y