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Stance Classification on PTT Comments

by Ju-han Chuang, Shukai Hsieh
"... With the development of social media and online forums, users have grown accustomed to expressing their agreement and disagreement via short texts. Elements that reveal the user’s stance or subjectivity thus becomes an important resource in identifying the user’s position on a given topic. In the cu ..."
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With the development of social media and online forums, users have grown accustomed to expressing their agreement and disagreement via short texts. Elements that reveal the user’s stance or subjectivity thus becomes an important resource in identifying the user’s position on a given topic

Information assurance: Detection of web spam attacks in social media

by Pang-ning Tan, Feilong Chen, Anil K Jain - In Proceedings of the 27th Army Science Conference , 2010
"... As online social media applications continue to gain its popularity, concerns about the rapid proliferation of Web spam has grown in recent years. These applications allow spammers to submit links anonymously, diverting unsuspected users to spam Web sites. This paper presents a novel co-classificati ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
As online social media applications continue to gain its popularity, concerns about the rapid proliferation of Web spam has grown in recent years. These applications allow spammers to submit links anonymously, diverting unsuspected users to spam Web sites. This paper presents a novel co-classification

A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge

by Tao Li, Yi Zhang, Vikas Sindhwani
"... Sentiment classification refers to the task of automatically identifying whether a given piece of text expresses positive or negative opinion towards a subject at hand. The proliferation of user-generated web content such as blogs, discussion forums and online review sites has made it possible to pe ..."
Abstract - Cited by 33 (4 self) - Add to MetaCart
Sentiment classification refers to the task of automatically identifying whether a given piece of text expresses positive or negative opinion towards a subject at hand. The proliferation of user-generated web content such as blogs, discussion forums and online review sites has made it possible

www.ijstr.org Crowdsourcing Social Media For Robot Learning: A Review

by Garima Khattar, Neetu Narayan
"... Abstract: Methods designed to render capability of robots to learn on their own is a heavily studied area. If robots are to become a constitutional part of our society, they must own the power to learn without direct guidance from a devoted user. Robot possessor never enjoyed the obligation of teach ..."
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of teaching their robot everything they know. The ability of a robot to use various resources in its environment will help its learning capabilities to be self-guided as well as independent. We investigate the use of social media crowdsourcing to allow a bot to access the huge information volume in gathering

Understanding Engagement with Insurgents through Retweet Rhetoric

by Joel Nothman, Atif Ahmad, Christoph Breidbach, David Malet, Timothy Baldwin
"... Organisations — including insurgent movements — harness social media to engage potential consumers. They evoke sympathetic (and antipathic) response; content sharing engenders affinity and community. We report on a pilot study of presumed rhetorical intent for statuses retweeted by a set of suspecte ..."
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Organisations — including insurgent movements — harness social media to engage potential consumers. They evoke sympathetic (and antipathic) response; content sharing engenders affinity and community. We report on a pilot study of presumed rhetorical intent for statuses retweeted by a set

K (2011) Entropy-based classification of retweeting activity on twitter

by Rumi Ghosh, Tawan Surachawala, Kristina Lerman - In: Proceedings of KDD workshop on Social Network Analysis (SNA-KDD
"... Twitter is used for a variety of reasons, including informa-tion dissemination, marketing, political organizing and to spread propaganda, spamming, promotion, conversations, and so on. Characterizing these activities and categoriz-ing associated user generated content is a challenging task. We prese ..."
Abstract - Cited by 8 (4 self) - Add to MetaCart
to sampling and missing data. It has many applications, including automatic spam-detection, trend identification, trust management, user-modeling, so-cial search and content classification on online social media.

KAIS manuscript No. (will be inserted by the editor) Mood Sensing from Social Media Texts and Its Applications

by Thin Nguyen, Dinh Phung Brett, Adams Svetha Venkatesh
"... Abstract We present a large-scale mood analysis in social media texts. We organize the paper in three parts: 1) addressing the problem of feature selection and classifi-cation of mood in blogosphere, 2) we extract global mood patterns at different level of aggregation from a large-scale dataset of a ..."
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Abstract We present a large-scale mood analysis in social media texts. We organize the paper in three parts: 1) addressing the problem of feature selection and classifi-cation of mood in blogosphere, 2) we extract global mood patterns at different level of aggregation from a large-scale dataset

The role of friends' appearance and behavior on evaluations of individuals on Facebook: Are we known by the company we keep?.

by Joseph B Walther , Brandon Van Der Heide , Sang-Yeon Kim , David Westerman , Stephanie Tom Tong , Joseph B Walther - Human Communication Research, , 2008
"... This research explores how cues deposited by social partners onto one's online networking profile affect observers' impressions of the profile owner. An experiment tested the relationships between both (a) what one's associates say about a person on a social network site via '&a ..."
Abstract - Cited by 65 (0 self) - Add to MetaCart
the information pertains. Several forms of high-warrant information have been nominated that meet this classification. Information gained about someone through others in that person's social network is one example. People try to find out about one another via common nodes in overlapping social networks

Digital media literacy education and online civic and political participation: DML Central Kahne

by Joseph Kahne , Nam-Jin Lee , Jessica Timpany , Feezell Uc , Santa Barbara , Joseph Kahne , Nam-Jin , Jessica Timpany - International Journal of Communication , 2010
"... Can media literacy education promote and improve youth engagement in civic and political life? Unfortunately, to date, there have been almost no quantitative assessments of the frequency of media literacy education, nor of any possible subsequent impacts. This study draws on a unique panel data set ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
feedback. Of course, despite all this help, we take full responsibility for our analysis and conclusions. such as social media, blogging, video games, and smart phones (see Engagement with new media has the potential to strengthen young people's participation in civic and political life. Educators

Speech

by Svitlana Volkova, Theresa Wilson, David Yarowsky
"... Different demographics, e.g., gender or age, can demonstrate substantial variation in their language use, particularly in informal contexts such as social media. In this paper we focus on learning gender differences in the use of sub-jective language in English, Spanish, and Rus-sian Twitter data, a ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Different demographics, e.g., gender or age, can demonstrate substantial variation in their language use, particularly in informal contexts such as social media. In this paper we focus on learning gender differences in the use of sub-jective language in English, Spanish, and Rus-sian Twitter data
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