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Articles 1 - 15 of 15
Full-Text Articles in Computer Sciences
“I Read My Twitter The Next Morning And Was Astonished” A Conversational Perspective On Twitter Regrets, Manya Sleeper, Justin Cranshaw, Patrick Kelley, Blase Ur, Alessandro Acquisti, Lorrie Cranor, Norman Sadeh
“I Read My Twitter The Next Morning And Was Astonished” A Conversational Perspective On Twitter Regrets, Manya Sleeper, Justin Cranshaw, Patrick Kelley, Blase Ur, Alessandro Acquisti, Lorrie Cranor, Norman Sadeh
Lorrie F Cranor
We present the results of an online survey of 1,221 Twitter users, comparing messages individuals regretted either saying during in-person conversations or posting on Twitter. Participants generally reported similar types of regrets in person and on Twitter. In particular, they often regretted messages that were critical of others. However, regretted messages that were cathartic/expressive or revealed too much information were reported at a higher rate for Twitter. Regretted messages on Twitter also reached broader audiences. In addition, we found that participants who posted on Twitter became aware of, and tried to repair, regret more slowly than those reporting in-person regrets. …
Whom Should We Sense In 'Social Sensing' - Analyzing Which Users Work Best For Social Media Now-Casting, Jisun An, Ingmar Weber
Whom Should We Sense In 'Social Sensing' - Analyzing Which Users Work Best For Social Media Now-Casting, Jisun An, Ingmar Weber
Research Collection School Of Computing and Information Systems
Given the ever increasing amount of publicly available social media data, there is growing interest in using online data to study and quantify phenomena in the offline 'real' world. As social media data can be obtained in near real-time and at low cost, it is often used for 'now-casting' indices such as levels of flu activity or unemployment. The term 'social sensing' is often used in this context to describe the idea that users act as 'sensors', publicly reporting their health status or job losses. Sensor activity during a time period is then typically aggregated in a 'one tweet, one …
Social Health Signals, Ashutosh Sopan Jadhav, Swapnil Soni, Amit P. Sheth
Social Health Signals, Ashutosh Sopan Jadhav, Swapnil Soni, Amit P. Sheth
Kno.e.sis Publications
Recently Twitter, has emerged as one of the primary medium for sharing and seeking of the latest information related to variety of the topics including health information. Recently, Twitter has emerged as one of the primary mediums for sharing and seeking the latest information related to a variety of topics, including health information. Although Twitter is an excellent information source, identification of useful information from the deluge of tweets is one of the major challenge. Twitter search is limited to keyword based techniques to retrieve information for a given query and sometimes the results do not contain real-time information. Moreover, …
What's Hot In Software Engineering Twitter Space?, Abhishek Sharma, Tian Yuan, David Lo
What's Hot In Software Engineering Twitter Space?, Abhishek Sharma, Tian Yuan, David Lo
Research Collection School Of Computing and Information Systems
Twitter is a popular means to disseminate information and currently more than 300 million people are using it actively. Software engineers are no exception; Singer et al. have shown that many developers use Twitter to stay current with recent technological trends. At various time points, many users are posting microblogs (i.e., tweets) about the same topic in Twitter. We refer to this reasonably large set of topically-coherent microblogs in the Twitter space made at a particular point in time as an event. In this work, we perform an exploratory study on software engineering related events in Twitter. We collect a …
Classifying Political Similarity Of Twitter Users, William K. Paustian
Classifying Political Similarity Of Twitter Users, William K. Paustian
Computer Science Summer Fellows
The emergence of large scale social networks has led to research in approaches to classify similar users on a network. While many such approaches use data mining techniques, recent efforts have focused on measuring the similarity of users using structural properties of the underlying graph representing the network. In this paper, we identify the Twitter followers of the 2016 presidential candidates and classify them as Democrat, Republican or Bipartisan. We did this by designing a new approach to measuring structural similarity, PolRANK. PolRANK computes the similarity of a pair of users by accounting for both the number of candidates they …
Domain Specific Document Retrieval Framework For Real-Time Social Health Data, Swapnil Soni
Domain Specific Document Retrieval Framework For Real-Time Social Health Data, Swapnil Soni
Kno.e.sis Publications
With the advent of the web search and microblogging, the percentage of Online Health Information Seekers (OHIS) using these online services to share and seek health real-time information has in- creased exponentially. OHIS use web search engines or microblogging search services to seek out latest, relevant as well as reliable health in- formation. When OHIS turn to microblogging search services to search real-time content, trends and breaking news, etc. the search results are not promising. Two major challenges exist in the current microblogging search engines are keyword based techniques and results do not contain real-time information. To address these challenges, …
Domain Specific Document Retrieval Framework On Near Real-Time Social Health Data, Swapnil Soni
Domain Specific Document Retrieval Framework On Near Real-Time Social Health Data, Swapnil Soni
Kno.e.sis Publications
With the advent of web search and microblogging, the percentage of Online Health Information Seekers (OHIS) using these services to share and seek health information in real-time has increased exponentially. Recently, Twitter has emerged as one of the primary mediums for sharing and seeking of the latest information related to a variety of topics, including health information. Although Twitter is an excellent information source, the identification of useful information from the deluge of tweets is one of the major challenges. Twitter search is limited to keyword-based techniques to retrieve information for a given query and sometimes the results do not …
Informational Power On Twitter: A Mixed-Methods Exploration Of User Knowledge And Technological Discourse About Information Flows, Nicholas John Proferes
Informational Power On Twitter: A Mixed-Methods Exploration Of User Knowledge And Technological Discourse About Information Flows, Nicholas John Proferes
Theses and Dissertations
Following a number of recent examples where social media users have been confronted by information flows that did not match their understandings of the platforms, there is a pressing need to examine public knowledge of information flows on these systems, to map how this knowledge lines up against the extant flows of these systems, and to explore the factors that contribute to the construction of knowledge about these systems. There is an immediacy to this issue because as social media sites become further entrenched as dominant vehicles for communication, knowledge about these technologies will play an ever increasing role in …
Microblogging For Engaged Teaching And Learning, Thomas Menkhoff, Kok Siew Benjamin Gan, Charles Jason Woodard, Yue Wah Chay
Microblogging For Engaged Teaching And Learning, Thomas Menkhoff, Kok Siew Benjamin Gan, Charles Jason Woodard, Yue Wah Chay
C. Jason Woodard
In this paper, we report how we put a newly developed Twitter application to work in the context of a Knowledge Management course taught at the Singapore Management University (SMU) allowing students to post and view relevant tweets in an organized manner for the benefit of collaborative class discussions and learning. Innovative elements of the ongoing project include the explorative usage of social media such as Twitter in the higher education context, student participation in providing initial evidence and qualitative feedback that tweeting is pedagogically meaningful and a newly built-in feature which can resolve tweeting challenges which occurred in class …
Use Of A High-Value Social Audience Index For Target Audience Identification On Twitter, Siaw Ling Lo, David Cornforth, Raymond. Chiong
Use Of A High-Value Social Audience Index For Target Audience Identification On Twitter, Siaw Ling Lo, David Cornforth, Raymond. Chiong
Research Collection School Of Computing and Information Systems
With the large and growing user base of social media, it is not an easy feat to identify potential customers for business. This is mainly due to the challenge of extracting commercially viable contents from the vast amount of free-form conversations. In this paper, we analyse the Twitter content of an account owner and its list of followers through various text mining methods and segment the list of followers via an index. We have termed this index as the High-Value Social Audience (HVSA) index. This HVSA index enables a company or organisation to devise their marketing and engagement plan according …
Knowledge Enabled Location Prediction Of Twitter Users, Revathy Krishnamurthy
Knowledge Enabled Location Prediction Of Twitter Users, Revathy Krishnamurthy
Browse all Theses and Dissertations
As the popularity of online social networking sites such as Twitter and Facebook continues to rise, the volume of textual content generated on the web is increasing rapidly. The mining of user generated content in social media has proven effective in domains ranging from personalization and recommendation systems to crisis management. These applications stand to be further enhanced by incorporating information about the geo-position of social media users in their analysis. Due to privacy concerns, users are largely reluctant to share their location information. As a consequence of this, researchers have focused on automatic inferencing of location information from the …
Knowledge Enabled Approach To Predict The Location Of Twitter Users, Revathy Krishnamurthy, Pavan Kapanipathi, Amit P. Sheth, Krishnaprasad Thirunarayan
Knowledge Enabled Approach To Predict The Location Of Twitter Users, Revathy Krishnamurthy, Pavan Kapanipathi, Amit P. Sheth, Krishnaprasad Thirunarayan
Kno.e.sis Publications
Knowledge bases have been used to improve performance in applications ranging from web search and event detection to entity recognition and disambiguation. More recently, knowledge bases have been used to analyze social data. A key challenge in social data analysis has been the identification of the geographic location of online users in a social network such as Twitter. Existing approaches to predict the location of users, based on their tweets, rely solely on social media features or probabilistic language models. These approaches are supervised and require large training dataset of geo-tagged tweets to build their models. As most Twitter users …
Features For Ranking Tweets Based On Credibility And Newsworthiness, Jacob W. Ross
Features For Ranking Tweets Based On Credibility And Newsworthiness, Jacob W. Ross
Browse all Theses and Dissertations
We create a robust and general feature set for learning to rank algorithms that rank tweets based on credibility and newsworthiness. In previous works, it has been demonstrated that when the training and testing data are from two distinct time periods, the ranker performs poorly. We improve upon previous work by creating a feature set that does not over fit a particular year or set of topics. This is critical given how people utilize social media changes as time progresses, and the topics discussed vary. In addition, we are constantly gaining new tweet data. Thus, it is important to be …
Domain-Specific Document Retrieval Framework For Near Real-Time Social Health Data, Swapnil Soni
Domain-Specific Document Retrieval Framework For Near Real-Time Social Health Data, Swapnil Soni
Browse all Theses and Dissertations
With the advent of web search and microblogging, the percentage of Online Health Information Seekers (OHIS) using these services to share and seek health information in real-time has increased exponentially. Recently, Twitter has emerged as one of the primary mediums for sharing and seeking of the latest information related to a variety of topics, including health information. Although Twitter is an excellent information source, the identification of useful information from the deluge of tweets is one of the major challenges. Twitter search is limited to keyword-based techniques to retrieve information for a given query and sometimes the results do not …
Relational Agency, Networked Technology, And The Social Media Aftermath Of The Boston Marathon Bombing, Megan M. Mcintyre
Relational Agency, Networked Technology, And The Social Media Aftermath Of The Boston Marathon Bombing, Megan M. Mcintyre
USF Tampa Graduate Theses and Dissertations
Agency is a foundational and ongoing concern for the field of Rhetoric and Composition. Long thought to be a product and possession of human action, rhetorical agency represents the most obvious connection between the educational and theoretical work of the field and the civic project of liberal arts and humanities education. Existing theories of anthropocentric rhetorical agency are insufficient, however, to account for the complex technological work of digitally enmeshed networks of humans and nonhumans. To better account for these complex networks, this project argues for the introduction of new materialist theories of distributed agency into conversations about agency within …