Dark Retweets: Investigating Non-conventional Retweeting Patterns

نویسندگان

  • Norhidayah Azman
  • David E. Millard
  • Mark J. Weal
چکیده

Retweets are an important mechanism for recognising propagation of information on the Twitter social media platform. However, many retweets do not use the official retweet mechanism, or even community established conventions, and these “dark retweets” are not accounted for in many existing analysis. In this paper, a comprehensive matrix of tweet propagation is presented to show the different nuances of retweeting, based on seven characteristics: whether it is proprietary, the mechanism used, whether it is directed to followers or non-followers, whether it mentions other users, if it is explicitly propagating another tweet, if it links to an original tweet, and what is the audience it is pushed to. Based on this matrix and two assumptions of retweetability, the degrees of a retweet’s “darkness” can be determined. This matrix was evaluated over 2.3 million tweets and it was found that dark retweets amounted to 12.86% (for search results less than 1500 tweets per URL) and 24.7% (for search results including more than 1500 tweets per URL) respectively. By extrapolating these results with those found in existing studies, potentially thousands of retweets may be hidden from existing studies on retweets.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

How do Explicitly expressed Emotions Influence Interpersonal Communication and Information Dissemination? A field Study of Emoji's effects on commenting and Retweeting on a Microblog Platform

The proliferation of microblogs greatly facilitated interpersonal communication and information diffusion. Prior studies mainly examined effects of user and network characteristics on information diffusion. In this study, we examine how explicitly expressed emotions through emojis influence commenting and retweeting, two types of interactions enabled by microblogging platforms. While existent r...

متن کامل

Retweeting activity on Twitter: Signs of Deception

Given the re-broadcasts (i.e. retweets) of posts in Twitter, how can we spot fake from genuine user reactions? What will be the tell-tale sign — the connectivity of retweeters, their relative timing, or something else? High retweet activity indicates influential users, and can be monetized. Hence, there are strong incentives for fraudulent users to artificially boost their retweets’ volume. Her...

متن کامل

Cohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities

We study the cohesion within and the coalitions between political groups in the Eighth European Parliament (2014-2019) by analyzing two entirely different aspects of the behavior of the Members of the European Parliament (MEPs) in the policy-making processes. On one hand, we analyze their co-voting patterns and, on the other, their retweeting behavior. We make use of two diverse datasets in the...

متن کامل

Spotting Fake Retweeting Activity in Twitter

Given the retweeting activity around the posts of several Twitter users, how can we spot organic users’ reactions from fake retweets that aim to boost a post’s appearance of popularity? Our main intuition is that organic behavior has more variability, while fraudulent behavior is more synchronized. We refer to the detection of such fraudulent activities as the Retweet Fraud problem and propose:...

متن کامل

Modeling and Predicting Retweeting Dynamics via a Mixture Process

Modeling and predicting retweeting dynamics in social media has important implications to an array of applications. Existing models either fail to model the triggering effect of retweeting dynamics, e.g., the model based on reinforced Poisson process, or are hard to be trained using only the retweeting dynamics of individual tweet, e.g., the model based on self-exciting Hawkes process. In this ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012