Breaking news on twitter

Hu, Mengdie; Liu, Shixia; Wei, Furu; Wu, Yingcai; Stasko, John; Ma, Kwan‐Liu

doi:10.1145/2207676.2208672

Cited by 123 publications

(86 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…β3: Twitter users who have large followings produce a disproportionate amount of retweeted content (Hu et al, 2012;Kwak et al, 2010). Since retweets are a form of an @-mention, we include this variable to control for this effect.…”

Section: Each Of the Variables Is In Matrix Form And Is Constructed Amentioning

confidence: 99%

Occupied with Place: Exploring Twitter Resistance Networks

Hemsley¹,

Eckert²

2014

iConference 2014 Proceedings

View full text Add to dashboard Cite

From Tehran Square to Gezi Park, Twitter is an emergent tactic of protestors in the public square. Our work utilizes the theoretical framework of contentious politics and its human geographic extension as a framework for examining the role of "place" in Twitter-based networks of resistance. We examine Twitter traffic about local instantiations of Occupy Wall Street across eight cities. The study addresses mutual communications between Twitter participants in hashtags related to each of these local instantiations. This work explores the role of place as a constitutive component of these networks. To do so, we employ descriptive statistical and chi-square tests to examine the significance of user-defined metadata regarding place to the exchanges between users within a network. We conclude that place matters and point to future directions in computational and traditional qualitative analysis, spatial-temporal studies of social media, and the effects of locational propinquity for network development.

show abstract

Section: Each Of the Variables Is In Matrix Form And Is Constructed Amentioning

confidence: 99%

Occupied with Place: Exploring Twitter Resistance Networks

Hemsley¹,

Eckert²

2014

iConference 2014 Proceedings

View full text Add to dashboard Cite

show abstract

“…They are observed the opposition that is positive or negative impact on the campaign. Other research analyzes the news spread [11]. They looked how quickly spread the different types of news.…”

Section: Twittermentioning

confidence: 99%

Virtual observatory for twitter messages

Gombos

Vincellér

Kiss

2015

Proceedings of the 9th International Conference on Applied Informatics, Volume 1

View full text Add to dashboard Cite

A new research direction has emerged as the investigation of On-line Social Networks. Twitter is one of the most well-known social networks. Analysis of the Twitter is easier than other social networks because it provides the opportunity for collecting and downloading of a certain percentage of the messages without any restrictions. There are several researches on topics as detecting news and events, human behaviors, analyzing and mining of opinions. The on-line messages are available only through a continuous stream. To store the messages from the stream effectively and efficiently is a serious challenge against software system design and architecture. Every day about 10 GBs data are generated by this way and storing of this volume of data is not an easy task. In this paper we present a technique and architecture for collecting and storing the messages of the Twitter, and we present a prototype where data can be accessed for further analysis. Our system makes use specific techniques and methods of Oracle environment. Our software architecture approach is in contrast to previous solutions in which the systems use MSSQL or MySQL DBMS. We demonstrate that indexing and Job scheduler of the Oracle provide advantages to retrieve and handle large amounts of data.

show abstract

“…For example, reference [6] has created one of the very first studies that looked at the topological characteristics of Twitter and its power as a new medium of information sharing and found that the dominant topics of the most active tweets (around 85%) are news headlines or information of that nature. Reference [4] examined how the news broke and spread on Twitter and concluded that Twitter was the first to break many news stories online and Twitter has a way of confirming information before the news is reported in formal media. Both studies considered analyzing tweets from massive data without specifying the context of these tweets.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Second, news often first breaks on Twitter. For example, when the news of Osama Bin Laden's death was traced back to its first source, it was discovered that the story started with a single user who tweeted the news to his followers before it was officially published by the White House and various news channels [4]. Given the speed of tweets, which travel in certain communities, it is assumed that news related to local events has as much popularity [12].…”

Section: Introductionmentioning

confidence: 99%