Tweet or Publish: A Comparison of 395 Professors on Twitter

نویسنده

  • Timothy D. Bowman
چکیده

Introduction Twitter is increasingly accepted as a venue to consume and disseminate information (Gruzd et al., 2012) and is used by scholars to share information about (a) professional discussions, (b) network with others, (c) offer help/request help, (d) call attention to other social media involvement, (e) personal discussions, and (f) impression management (Veletsianos, 2012). It is also seen as one of the most promising sources to measure broader research impact in the context of “altmetrics” (Priem et al., 2010) The idea of examining scholars’ interactions and output on the web to understand how events affected societal impact and influence of scholarly work was discussed by Cronin (Cronin, 2005, p. 196) early on, who argued that there would “soon be a critical mass of web-based digital objects and usage statistics on which to model scholars’ communication behaviours... and with which to track their scholarly influence and impact.” It is unclear what types of effect tweets have on scholarly production and scholarly impact. To examine whether there is an impact, this work contrasts the tweeting behaviour with the publication activity of 395 professors on Twitter.

برای دانلود رایگان 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

A High-Performance Model based on Ensembles for Twitter Sentiment Classification

Background and Objectives: Twitter Sentiment Classification is one of the most popular fields in information retrieval and text mining. Millions of people of the world intensity use social networks like Twitter. It supports users to publish tweets to tell what they are thinking about topics. There are numerous web sites built on the Internet presenting Twitter. The user can enter a sentiment ta...

متن کامل

More than Liking and Bookmarking?

Microblogging services, such as Twitter, offer a variety of interactive features that allow users to engage with contacts in their social network and the content they produce. One such feature is the favourite button on Twitter, an icon in the form of a star that users can click on to assign a special status to a particular tweet. Despite evidence suggesting that users increasingly make use of ...

متن کامل

Forecasting Stock Price Movements Based on Opinion Mining and Sentiment Analysis: An Application of Support Vector Machine and Twitter Data

Today, social networks are fast and dynamic communication intermediaries that are a vital business tool. This study aims at examining the views of those involved with Facebook stocks so that we can summarize their views to predict the general behavior of this stock and collectively consider possible Facebook stock price movements, and create a more accurate pattern compared to previous patterns...

متن کامل

TweetSense: Recommending Hashtags for Orphaned Tweets by Exploiting Social Signals in Twitter by

Twitter is a micro-blogging platform where the users can be social, informational or both. In certain cases, users generate tweets that have no "hashtags" or "@mentions"; we call it an orphaned tweet. The user will be more interested to find more "context" of an orphaned tweet presumably to engage with his/her friend on that topic. Finding context for an Orphaned tweet manually is challenging b...

متن کامل

Tweet Location Detection - Camera ready - Final

Mapping Twitter conversations on maps over time has become a popular way of visualising conversations around events on Twitter. Large events have been the subject of most of these types of visualisations, where the rate of geo-tagged tweets is high enough to make interesting visualisations over the selected time period. However, in the case of smaller events, or smaller countries where the freq...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015