https://discovertext.com/2017/10/27/spooky-historical-twitter-discounts/ about 8 spooky hours left ;-) We are having the spookiest Halloween discount ever on historical Twitter data via Sifter. Any purchases completed before 11:55 PM on October 31, 2017 will suffer the terrifying horror of a grisly, dollar-dripping, cut-to-the-bone, end-of-month discount. If you have the guts to go through with it, we will double the pain and suffering by increasing the extensive free, but deadly, access to DiscoverText.com, a ghoulishly sinister platform for mercilessly dissecting data and making it sing. Let us know if you need any help putting a foot into the grave. On Tue, Oct 31, 2017 at 3:55 PM, Sarah Ann Oates <soates@umd.edu> wrote:
Thank you Stu that is incredibly helpful. Also I liked your playful "spooky" discounts ad ... Sarah
Sarah Oates Professor and Senior Scholar Philip Merrill College of Journalism University of Maryland College Park, MD 20457 Email: soates@umd.edu Phone: 301 405 4510
www.media-politics.com Twitter: @media_politics
On Tue, Oct 31, 2017 at 2:41 PM, Shulman, Stu <stu@texifter.com> wrote:
Luis,
We display Tweets in the live Twitter display, with the images, media previews, and favorite/RT counts up-to-the-moment. Many of the articles on this list of more than 150 feature Twitter data and innovative, often interdisciplinary research methods:
https://discovertext.com/publications/
~Stu
On Tue, Oct 31, 2017 at 2:34 PM, Luis Hestres <Luis.Hestres@utsa.edu> wrote:
Hi all,
Can someone recommend any must-read literature on how to analyze tweets with images holistically? Content analyses that treat the tweet’s text as indivisible from its image would be great.
Thanks,
Luis
- - - - - Dr. Luis E. Hestres Assistant Professor Department of Communication The University of Texas at San Antonio One UTSA Circle San Antonio, TX 78249-0732 http://www.luishestres.com<http://www.luishestres.com/>
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