Search (43 results, page 1 of 3)

  • × theme_ss:"Internet"
  • × type_ss:"a"
  • × year_i:[2010 TO 2020}
  1. Bhattacharya, S.; Yang, C.; Srinivasan, P.; Boynton, B.: Perceptions of presidential candidates' personalities in twitter (2016) 0.07 
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    Abstract
    Political sentiment analysis using social media, especially Twitter, has attracted wide interest in recent years. In such research, opinions about politicians are typically divided into positive, negative, or neutral. In our research, the goal is to mine political opinion from social media at a higher resolution by assessing statements of opinion related to the personality traits of politicians; this is an angle that has not yet been considered in social media research. A second goal is to contribute a novel retrieval-based approach for tracking public perception of personality using Gough and Heilbrun's Adjective Check List (ACL) of 110 terms describing key traits. This is in contrast to the typical lexical and machine-learning approaches used in sentiment analysis. High-precision search templates developed from the ACL were run on an 18-month span of Twitter posts mentioning Obama and Romney and these retrieved more than half a million tweets. For example, the results indicated that Romney was perceived as more of an achiever and Obama was perceived as somewhat more friendly. The traits were also aggregated into 14 broad personality dimensions. For example, Obama rated far higher than Romney on the Moderation dimension and lower on the Machiavellianism dimension. The temporal variability of such perceptions was explored.
    Date
    22. 1.2016 11:25:47
  2. Evans, H.K.; Ovalle, J.; Green, S.: Rockin' robins : do congresswomen rule the roost in the Twittersphere? (2016) 0.06 
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    Abstract
    Recent work by Evans, Cordova, and Sipole (2014) reveals that in the two months leading up to the 2012 election, female House candidates used the social media site Twitter more often than male candidates. Not only did female candidates tweet more often, but they also spent more time attacking their opponents and discussing important issues in American politics. In this article, we examine whether the female winners of those races acted differently than the male winners in the 2012 election, and whether they differed in their tweeting-style during two months in the summer of 2013. Using a hand-coded content analysis of every tweet from each member in the U.S. House of Representatives in June and July of 2013, we show that women differ from their male colleagues in their frequency and type of tweeting, and note some key differences between the period during the election and the period after. This article suggests that context greatly affects representatives' Twitter-style.
    Date
    22. 1.2016 11:51:19
  3. Oh, S.; Syn, S.Y.: Motivations for sharing information and social support in social media : a comparative analysis of Facebook, Twitter, Delicious, YouTube, and Flickr (2015) 0.05 
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    Abstract
    The success or failure of social media is highly dependent on the active participation of its users. In order to examine the influential factors that inspire dynamic and eager participation, this study investigates what motivates social media users to share their personal experiences, information, and social support with anonymous others. A variety of information-sharing activities in social media, including creating postings, photos, and videos in 5 different types of social media: Facebook, Twitter, Delicious, YouTube, and Flickr, were observed. Ten factors: enjoyment, self-efficacy, learning, personal gain, altruism, empathy, social engagement, community interest, reciprocity, and reputation, were tested to identify the motivations of social media users based on reviews of major motivation theories and models. Findings from this study indicate that all of the 10 motivations are influential in encouraging users' information sharing to some degree and strongly correlate with one another. At the same time, motivations differ across the 5 types of social media, given that they deliver different information content and serve different purposes. Understanding such differences in motivations could benefit social media developers and those organizations or institutes that would like to use social media to facilitate communication among their community members; appropriate types of social media could be chosen that would fit their own purposes and they could develop strategies that would encourage their members to contribute to their communities through social media.
  4. Zimmer, M.; Proferes, N.J.: ¬A topology of Twitter research : disciplines, methods, and ethics (2014) 0.05 
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    Abstract
    Purpose - The purpose of this paper is to engage in a systematic analysis of academic research that relies on the collection and use of Twitter data, creating topology of Twitter research that details the disciplines and methods of analysis, amount of tweets and users under analysis, the methods used to collect Twitter data, and accounts of ethical considerations related to these projects. Design/methodology/approach - Content analysis of 382 academic publications from 2006 to 2012 that used Twitter as their primary platform for data collection and analysis. Findings - The analysis of over 380 scholarly publications utilizing Twitter data reveals noteworthy trends related to the growth of Twitter-based research overall, the disciplines engaged in such research, the methods of acquiring Twitter data for analysis, and emerging ethical considerations of such research. Research limitations/implications - The findings provide a benchmark analysis that must be updated with the continued growth of Twitter-based research. Originality/value - The research is the first full-text systematic analysis of Twitter-based research projects, focussing on the growth in discipline and methods as well as its ethical implications. It is of value for the broader research community currently engaged in social media-based research, and will prompt reflexive evaluation of what research is occurring, how it is occurring, what is being done with Twitter data, and how researchers are addressing the ethics of Twitter-based research.
    Date
    20. 1.2015 18:30:22
  5. Dalip, D.H.; Gonçalves, M.A.; Cristo, M.; Calado, P.: ¬A general multiview framework for assessing the quality of collaboratively created content on web 2.0 (2017) 0.05 
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    Abstract
    User-generated content is one of the most interesting phenomena of current published media, as users are now able not only to consume, but also to produce content in a much faster and easier manner. However, such freedom also carries concerns about content quality. In this work, we propose an automatic framework to assess the quality of collaboratively generated content. Quality is addressed as a multidimensional concept, modeled as a combination of independent assessments, each regarding different quality dimensions. Accordingly, we adopt a machine-learning (ML)-based multiview approach to assess content quality. We perform a thorough analysis of our framework on two different domains: Questions and Answer Forums and Collaborative Encyclopedias. This allowed us to better understand when and how the proposed multiview approach is able to provide accurate quality assessments. Our main contributions are: (a) a general ML multiview framework that takes advantage of different views of quality indicators; (b) the improvement (up to 30%) in quality assessment over the best state-of-the-art baseline methods; (c) a thorough feature and view analysis regarding impact, informativeness, and correlation, based on two distinct domains.
    Date
    16.11.2017 13:04:22
  6. Sugimoto, C.R.; Work, S.; Larivière, V.; Haustein, S.: Scholarly use of social media and altmetrics : A review of the literature (2017) 0.05 
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    Abstract
    Social media has become integrated into the fabric of the scholarly communication system in fundamental ways, principally through scholarly use of social media platforms and the promotion of new indicators on the basis of interactions with these platforms. Research and scholarship in this area has accelerated since the coining and subsequent advocacy for altmetrics-that is, research indicators based on social media activity. This review provides an extensive account of the state-of-the art in both scholarly use of social media and altmetrics. The review consists of 2 main parts: the first examines the use of social media in academia, reviewing the various functions these platforms have in the scholarly communication process and the factors that affect this use. The second part reviews empirical studies of altmetrics, discussing the various interpretations of altmetrics, data collection and methodological limitations, and differences according to platform. The review ends with a critical discussion of the implications of this transformation in the scholarly communication system.
  7. Jamali, H.R.; Shahbaztabar, P.: ¬The effects of internet filtering on users' information-seeking behaviour and emotions (2017) 0.04 
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    Abstract
    Purpose The purpose of this paper is to investigate the relationship between internet filtering, emotions and information-seeking behaviour. Design/methodology/approach In total, 15 postgraduate students at an Iranian university participated in the study which involved a questionnaire, search tasks with think aloud narratives, and interviews. Findings Internet content filtering results in some changes in the information-seeking behaviour of users. Users who face website blocking use a variety of methods to bypass filtering, mostly by using anti-filter software. Filtering encourages users to use channels such as social networking services to share resources and it increases the use of library material by some of the users. Users who face filtering during their search are more likely to visit more pages of results and click on more hits in the results, unlike users who do not experience filtering who rarely go past the first page. Blocking users' access to content stimulates their curiosity and they become more determined to access the content. In terms of the affective aspect, filtering causes several negative emotions (e.g. anger, disgust, sadness and anxiety) and the main reason for these emotions is not the inability to access information but the feeling of being controlled and not having freedom. Research limitations/implications The study was limited to a small number of postgraduate students in social sciences and not generalisable to all user groups. The implication is that in countries where filtering is used, libraries can play an important role in serving users and reducing users negative emotions, especially if libraries can take advantage of technologies such as social media for their services. Originality/value This is first study to address the effects of internet filtering on information-seeking behaviour and emotions. The study shows that internet filtering causes negative emotions and results in some changes in information-seeking behaviour.
    Date
    20. 1.2015 18:30:22
  8. Komito, L.: Social media and migration : Virtual community 2.0 (2011) 0.04 
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    Abstract
    Research indicates that migrants' social media usage in Ireland enables a background awareness of friends and acquaintances that supports bonding capital and transnational communities in ways not previously reported. Interview data from 65 Polish and Filipino non-nationals in Ireland provide evidence that their social media practices enable a shared experience with friends and relations living outside Ireland that is not simply an elaboration of the social relations enabled by earlier Internet applications. Social media usage enables a passive monitoring of others, through the circulation of voice, video, text, and pictures, that maintains a low level mutual awareness and supports a dispersed community of affinity. This ambient, or background, awareness of others enhances and supports dispersed communities by contributing to bonding capital. This may lead to significant changes in the process of migration by slowing down the process of integration and participation in host societies while also encouraging continual movement of migrants from one society to another.
  9. Yang, M.; Kiang, M.; Chen, H.; Li, Y.: Artificial immune system for illicit content identification in social media (2012) 0.03 
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    Abstract
    Social media is frequently used as a platform for the exchange of information and opinions as well as propaganda dissemination. But online content can be misused for the distribution of illicit information, such as violent postings in web forums. Illicit content is highly distributed in social media, while non-illicit content is unspecific and topically diverse. It is costly and time consuming to label a large amount of illicit content (positive examples) and non-illicit content (negative examples) to train classification systems. Nevertheless, it is relatively easy to obtain large volumes of unlabeled content in social media. In this article, an artificial immune system-based technique is presented to address the difficulties in the illicit content identification in social media. Inspired by the positive selection principle in the immune system, we designed a novel labeling heuristic based on partially supervised learning to extract high-quality positive and negative examples from unlabeled datasets. The empirical evaluation results from two large hate group web forums suggest that our proposed approach generally outperforms the benchmark techniques and exhibits more stable performance.
  10. Yuan, Y.C.; Zhao, X.; Liao, Q.; Chi, C.: ¬The use of different information and communication technologies to support knowledge sharing in organizations : from e-mail to micro-blogging (2013) 0.03 
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    Abstract
    Previous research has revealed the following three challenges for knowledge sharing: awareness of expertise distribution, motivation for sharing, and network ties. In this case study, we examine how different generations of information and communication technologies (ICTs), ranging from e-mail to micro-blogging, can help address these challenges. Twenty-one interviews with employees from a multinational company revealed that although people think social media can better address these challenges than older tools, the full potential of social media for supporting knowledge sharing has yet to be achieved. When examining the interconnections among different ICTs, we found that employees? choice of a combination of ICTs, as affected by their functional backgrounds, could create "technological divides" among them and separate resources. This finding indicates that having more ICTs is not necessarily better. ICT integration, as well as support for easy navigation, is crucial for effective knowledge search and sharing. Adaptation to local culture is also needed to ensure worldwide participation in knowledge sharing.
  11. Liu, Y.; Du, F.; Sun, J.; Silva, T.; Jiang, Y.; Zhu, T.: Identifying social roles using heterogeneous features in online social networks (2019) 0.03 
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    Abstract
    Role analysis plays an important role when exploring social media and knowledge-sharing platforms for designing marking strategies. However, current methods in role analysis have overlooked content generated by users (e.g., posts) in social media and hence focus more on user behavior analysis. The user-generated content is very important for characterizing users. In this paper, we propose a novel method which integrates both user behavior and posted content by users to identify roles in online social networks. The proposed method models a role as a joint distribution of Gaussian distribution and multinomial distribution, which represent user behavioral feature and content feature respectively. The proposed method can be used to determine the number of roles concerned automatically. The experimental results show that the proposed method can be used to identify various roles more effectively and to get more insights on such characteristics.
  12. Pauls, N.; Griesbaum, J.; Mandl, T.: Erfolgsfaktoren kirchlicher Community-Angebote im Social Web : eine Analyse des Wikis "Evangelisch in Niedersachsen" (2011) 0.02 
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    Abstract
    Vorliegender Artikel behandelt anhand einer Untersuchung des Wikis "Evangelisch in Niedersachsen" die Frage von Erfolgsfaktoren kirchlicher Social Media Angebote. Hierzu werden Bewertungskriterien aus der Literatur erarbeitet und auf die Fallstudie "Evangelisch in Niedersachsen" angewendet. Dabei werden statistische Nutzungsdaten ausgewertet sowie eine Expertenanalyse und eine Nutzerbefragung durchgeführt. In der konkreten Fallstudie werden die Ergebnisse zur Erarbeitung von Empfehlungen zur Optimierung des Kirchen-Wikis genutzt.
  13. Andrianasolo, N.; Chifu, A.-G.; Fournier, S.; Ibekwe-SanJuan, F.: Challenges to knowledge organization in the era of social media : the case of social controversies (2018) 0.02 
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  14. Tan, W.-K.; Tan, C.-H.; Teo, H.-H.: Conveying information effectively in a virtual world : insights from synthesized task closure and media richness (2012) 0.02 
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    Abstract
    Scholars and practitioners alike increasingly emphasize the importance of the virtual world as a new medium of communication. Key to the success of this digital medium is its ability to support information exchange when compared with face-to-face communication. Its potential is highlighted by the literature illustrating the inadequacy of traditional computer-mediated communication (CMC) tools, such as e-mail and video conferencing, to support communication among geographically dispersed coworkers. Many of the traditional CMC tools lack the needed support for effective information exchange to varying degrees. The emergence of a sophisticated virtual world, such as Second Life, has met this dearth. We draw on the theories of task closure and media richness to propose a parsimonious model of information exchange behavior in a virtual world context. Observations from a series of group-based project discussion sessions in face-to-face and virtual world settings, respectively, suggest that the information exchange between coworkers in both settings could be similar. Specifically, virtual coworkers might be able to achieve task closure (i.e., the complete transmission of intended work-related information) in the same way as their counterparts in the face-to-face context.
  15. Paltoglou, G.: Sentiment-based event detection in Twitter (2016) 0.02 
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    Abstract
    The main focus of this article is to examine whether sentiment analysis can be successfully used for "event detection," that is, detecting significant events that occur in the world. Most solutions to this problem are typically based on increases or spikes in frequency of terms in social media. In our case, we explore whether sudden changes in the positivity or negativity that keywords are typically associated with can be exploited for this purpose. A data set that contains several million Twitter messages over a 1-month time span is presented and experimental results demonstrate that sentiment analysis can be successfully utilized for this purpose. Further experiments study the sensitivity of both frequency- or sentiment-based solutions to a number of parameters. Concretely, we show that the number of tweets that are used for event detection is an important factor, while the number of days used to extract token frequency or sentiment averages is not. Lastly, we present results focusing on detecting local events and conclude that all approaches are dependant on the level of coverage that such events receive in social media.
  16. Vishwanath, A.; Xu, W.; Ngoh, Z.: How people protect their privacy on facebook : a cost-benefit view (2018) 0.02 
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    Abstract
    Realizing the many benefits from Facebook require users to share information reciprocally, which has overtime created trillions of bytes of information online-a treasure trove for cybercriminals. The sole protection for any user are three sets of privacy protections afforded by Facebook: settings that control information privacy (i.e., security of social media accounts and identity information), accessibility privacy or anonymity (i.e., manage who can connect with a user), and those that control expressive privacy (i.e., control who can see a user's posts and tag you). Using these settings, however, involves a trade-off between making oneself accessible and thereby vulnerable to potential attacks, or enacting stringent protections that could potentially make someone inaccessible thereby reducing the benefits that are accruable through social media. Using two theoretical frameworks, Uses and Gratifications (U&G) and Protection Motivation Theory (PMT), the research examined how individuals congitvely juxtaposed the cost of maintaining privacy through the use of these settings against the benefits of openness. The application of the U&G framework revealed that social need fulfillment was the single most significant benefit driving privacy management. From the cost standpoint, the PMT framework pointed to perceived severity impacting expressive and information privacy, and perceived susceptability influencing accessibility privacy.
  17. Nikolov, D.; Lalmas, M.; Flammini, A.; Menczer, F.: Quantifying biases in online information exposure (2019) 0.02 
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    Abstract
    Our consumption of online information is mediated by filtering, ranking, and recommendation algorithms that introduce unintentional biases as they attempt to deliver relevant and engaging content. It has been suggested that our reliance on online technologies such as search engines and social media may limit exposure to diverse points of view and make us vulnerable to manipulation by disinformation. In this article, we mine a massive data set of web traffic to quantify two kinds of bias: (i) homogeneity bias, which is the tendency to consume content from a narrow set of information sources, and (ii) popularity bias, which is the selective exposure to content from top sites. Our analysis reveals different bias levels across several widely used web platforms. Search exposes users to a diverse set of sources, while social media traffic tends to exhibit high popularity and homogeneity bias. When we focus our analysis on traffic to news sites, we find higher levels of popularity bias, with smaller differences across applications. Overall, our results quantify the extent to which our choices of online systems confine us inside "social bubbles."
  18. Ahn, A.: ¬The effect of social network sites on adolescents' social and academic development : current theories and controversies (2011) 0.02 
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    Abstract
    Teenagers are among the most prolific users of social network sites (SNS). Emerging studies find that youth spend a considerable portion of their daily life interacting through social media. Subsequently, questions and controversies emerge about the effects SNS have on adolescent development. This review outlines the theoretical frameworks researchers have used to understand adolescents and SNS. It brings together work from disparate fields that examine the relationship between SNS and social capital, privacy, youth safety, psychological well-being, and educational achievement. These research strands speak to high-profile concerns and controversies that surround youth participation in these online communities, and offer ripe areas for future research.
  19. Griesbaum, J.: Social Web : Überblick Einordnung informationswissenschaftliche Perspektiven (2010) 0.02 
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    Abstract
    Der Beitrag behandelt informationswissenschaftliche Perspektiven des Social Web. Hierzu wird zunächst anhand technologischer und sozialer Entwicklungstendenzen des Internets eine begriffliche Annäherung vorgenommen und die sich daraus ergebenden Phänomene mittels einer exemplarischen Darstellung wichtiger Dienste und Anwendungen veranschaulicht. Darauf aufsetzend wird das Social Web aus gesellschaftlicher Perspektive als eine globale Architektur der Partizipation eingeordnet, die in langfristiger Sicht das Potential für strukturelle Umbrüche in vielfältigen Bereichen und Handlungsfeldern in sich birgt. Dabei lassen sich aus informationswissenschaftlicher Perspektive insbesondere Auswirkungen auf die Ausprägung individueller und kollektiver Informations-, Wissens- und Kommunikationsprozesse als für die Disziplin relevante Aspekte begreifen. So bereichert das Social Web zentrale Themenfelder wie das Information Retrieval, die Mensch-Maschine-Interaktion oder das Wissensmanagement um neuartige Facetten. Zugleich werden neue Forschungsfelder virulent. Der Artikel skizziert beispielhaft einige dieser Aspekte, die derzeit in Hildesheim, insbesondere mit der neu geschaffenen Juniorprofessur "Social Networks and Collaborative Media", zu einer Erweiterung des informationswissenschaftlichen Lehr- und Forschungsportfolios führen. Ziel des Beitrags ist es zu verdeutlichen, dass die derzeitigen Entwicklungstendenzen des Internets die Bedeutung der Informationswissenschaft als wichtige zukunftsorientierte Lehr- und Forschungsdisziplin unterstreichen und zugleich Chancen und Bedarf für eine offensive Profilierung der Disziplin schaffen.
  20. Kang, H.; Plaisant, C.; Elsayed, T.; Oard, D.W.: Making sense of archived e-mail : exploring the Enron collection with NetLens (2010) 0.02 
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    Abstract
    Informal communications media pose new challenges for information-systems design, but the nature of informal interaction offers new opportunities as well. This paper describes NetLens-E-mail, a system designed to support exploration of the content-actor network in large e-mail collections. Unique features of NetLens-E-mail include close coupling of orientation, specification, restriction, and expansion, and introduction and incorporation of a novel capability for iterative projection between content and actor networks within the same collection. Scenarios are presented to illustrate the intended employment of NetLens-E-mail, and design walkthroughs with two domain experts provide an initial basis for assessment of the suitability of the design by scholars and analysts.

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