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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 1 to 2 of 2 (0.026 seconds)Spelling suggestions: "subject:"fitly"" "subject:"bitly""
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Propagation Patterns of News on Twitter : A Study in How News Propagate Through Twitter Via the Use of Bitly Links. / Spridningsmönster hos nyheter på Twitter : En studie i hur nyheter propagerar på Twitter via Bitly-länkar.Lundström, Linnea, Ragnarsson, Sebastian January 2018 (has links)
As so called fake news spread widely on the internet it is important to examine how they are spread, and thereby, how much of a problem they are. This thesis investigates how the spread of news articles on Twitter can be represented via a tree structure, as well as whether or not the trees have patterns that correlate to attributes such as the source of the shared news article and how many followers the original tweeter has. As part of the study a tool was built in Python 2.7 that, amongst other things, allows tracking and reconstruction of a news article's propagation on Twitter.It could be concluded that most links that are shared on Twitter propagate over a period of a few days and most retweets are made within the first twelve hours. We observe patterns suggesting that having more followers correlates to getting more retweets. Users who have few followers have to rely on their tweets being retweeted in a longer chain of users for it to reach a larger audience. Tweets that have a substantial spread often spread widely, but not especially deep. Finally, our results suggest that both the news site that created the article and the content of the article has an impact on how much it is retweeted.
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Longitudinal measurements of link usage on Twitter / Longitudinella mätningar av länkanvändning på TwitterJärpehult, Oscar, Lindblom, Martin January 2019 (has links)
As Twitter launched with their unique way of limiting posts to only 140 characters the usage of link shorteners was brought forth. This was the only way to fit long URLs in tweets until Twitter solved this by providing their own integrated link shortener. This study investigates how links are used on Twitter. The study include both care fulldata collection including multiple APIs and analysis of the collected data providing new insight into this topic. It was found that a small set of internet domains account for a large part of the links found in posted tweets. This set of top occurring domains did not necessarily reflect the top domains typically on common internet top lists. When looking at link shorteners in posted tweets we found that “bit.ly” was the most common one. Due to our method of collecting data we had the possibility of looking up the amount of clicks “bit.ly” links had received. We compared the click data to the amount of retweets the tweets containing these links had received and this led to some interesting discoveries regarding the ratio between these two.
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