Thelwall, M., Goriunova, O., Vis, F. et al. (6 more authors) (2016) Chatting through Pictures? A Classification of Images Tweeted in one week in the UK and USA. Journal of the Association for Information Science and Technology, 67 (11). pp. 2575-2586. ISSN 2330-1643
Abstract
Twitter is used by a substantial minority of the populations of many countries to share short messages, sometimes including images. Nevertheless, despite some research into specific images, such as selfies, and a few news stories about specific tweeted photographs, little is known about the types of images that are routinely shared. In response, this article reports a content analysis of random samples of 800 images tweeted from the UK or USA during a week at the end of 2014. Although most images were photographs, a substantial minority were hybrid or layered image forms: phone screenshots, collages, captioned pictures, and pictures of text messages. About half were primarily of one or more people, including 10% that were selfies, but a wide variety of other things were also pictured. Some of the images were for advertising or to share a joke but in most cases the purpose of the tweet seemed to be to share the minutiae of daily lives, performing the function of chat or gossip, sometimes in innovative ways.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 ASIS&T. This is an author produced version of a paper subsequently published in Journal of the Association for Information Science and Technology. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | information seeking; scholars; information explosion |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 02 Mar 2016 16:58 |
Last Modified: | 22 Mar 2018 03:33 |
Published Version: | http://dx.doi.org/10.1002/asi.23620 |
Status: | Published |
Publisher: | Association for Information Science and Technology |
Refereed: | Yes |
Identification Number: | 10.1002/asi.23620 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:95894 |