Search (26 results, page 1 of 2)

  • × language_ss:"e"
  • × theme_ss:"Internet"
  • × year_i:[2010 TO 2020}
  1. Shmargad, Y.: Structural diversity and tie strength in the purchase of a social networking app (2018) 0.02
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    Abstract
    Although people increasingly rely on online services to maintain their relationships, we know relatively little about what drives their use. To address this, I analyze data from a social networking site that started charging its users for an app that populates their e-mail address books with updated contact information. I find that purchase rates of the app were higher for users with large, structurally diverse networks - which contain several distinct social groups. Moreover, personal ties (i.e., family members and friends) increased purchase rates more than professional ties. I attribute the first effect to the difficulty of obtaining information about a large, diverse social network, which the app reduces, and the second effect to the regularity with which people use information about their personal ties.
  2. Wu, P.F.: ¬The privacy paradox in the context of online social networking : a self-identity perspective (2019) 0.02
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    Abstract
    Drawing on identity theory and privacy research, this article argues that the need for self-identity is a key factor affecting people's privacy behavior in social networking sites. I first unpack the mainstream, autonomy-centric discourse of privacy, and then present a research model that illustrates a possible new theorization of the relationship between self-identity and information privacy. An empirical study with Facebook users confirms the main hypotheses. In particular, the data show that the need for self-identity is positively related to privacy management behaviors, which in turn result in increased self-disclosure in online social networks. I subsequently argue that the so-called "privacy paradox" is not a paradox per se in the context of online social networking; rather, privacy concerns reflect the ideology of an autonomous self, whereas social construction of self-identity explains voluntary self-disclosure.
  3. Huvila, I.: Mining qualitative data on human information behaviour from the Web (2010) 0.01
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  4. Andrade, T.C.; Dodebei, V.: Traces of digitized newspapers and bom-digital news sites : a trail to the memory on the internet (2016) 0.01
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    Date
    19. 1.2019 17:42:22
  5. Oguz, F.; Koehler, W.: URL decay at year 20 : a research note (2016) 0.01
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    Date
    22. 1.2016 14:37:14
  6. Hasler, L.; Ruthven, I.; Buchanan, S.: Using internet groups in situations of information poverty : topics and information needs (2014) 0.01
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  7. Schwartz, D.G.; Yahav, I.; Silverman, G.: News censorship in online social networks : a study of circumvention in the commentsphere (2017) 0.01
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  8. Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment in Twitter events (2011) 0.01
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    Date
    22. 1.2011 14:27:06
  9. Okoli, C.; Mehdi, M.; Mesgari, M.; Nielsen, F.A.; Lanamäki, A.: Wikipedia in the eyes of its beholders : a systematic review of scholarly research on Wikipedia readers and readership (2014) 0.01
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    Date
    18.11.2014 13:22:03
  10. Egbert, J.; Biber, D.; Davies, M.: Developing a bottom-up, user-based method of web register classification (2015) 0.01
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    Date
    4. 8.2015 19:22:04
  11. Evans, H.K.; Ovalle, J.; Green, S.: Rockin' robins : do congresswomen rule the roost in the Twittersphere? (2016) 0.01
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    Date
    22. 1.2016 11:51:19
  12. Arbelaitz, O.; Martínez-Otzeta. J.M.; Muguerza, J.: User modeling in a social network for cognitively disabled people (2016) 0.01
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    Date
    22. 1.2016 12:02:26
  13. Tsikerdekis, M.: Personal communication networks and their positive effects on online collaboration and outcome quality on Wikipedia : an empirical exploration (2016) 0.01
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    Abstract
    Online collaborative projects have been utilized in a variety of ways over the past decade, such as bringing people together to build open source software or developing the world's largest free encyclopedia. Personal communication networks as a feature do not exist in all collaborative projects. It is currently unclear if a designer's decision to include a personal communication network in a collaborative project's structure affects outcome quality. In this study, I investigated Wikipedia's personal communication network and analyzed which Wikipedia editors are utilizing it and how they are connected to outcome quality. Evidence suggests that people who utilize these networks are more experienced in editing high quality articles and are more integrated in the community. Additionally, these individuals utilize the personal communication network for coordinating and perhaps mentoring editors who edit lower quality articles. The value of these networks is demonstrated by the characteristics of the users who use them. These findings indicate that designers of online collaborative projects can help improve the quality of outcomes in these projects by deciding to implement a personal communication network in their communities.
  14. Kozak, M.; Iefremova, O.; Hartley, J.: Spamming in scholarly publishing : a case study (2016) 0.01
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    Abstract
    Spam has become an issue of concern in almost all areas where the Internet is involved, and many people today have become victims of spam from publishers and individual journals. We studied this phenomenon in the field of scholarly publishing from the perspective of a single author. We examined 1,024 such spam e-mails received by Marcin Kozak from publishers and journals over a period of 391 days, asking him to submit an article to their journal. We collected the following information: where the request came from; publishing model applied; fees charged; inclusion or not in the Directory of Open Access Journals (DOAJ); and presence or not in Beall's (2014) listing of dubious journals. Our research showed that most of the publishers that sent e-mails inviting manuscripts were (i) using the open access model, (ii) using article-processing charges to fund their journal's operations; (iii) offering very short peer-review times, (iv) on Beall's list, and (v) misrepresenting the location of their headquarters. Some years ago, a letter of invitation to submit an article to a particular journal was considered a kind of distinction. Today, e-mails inviting submissions are generally spam, something that misleads young researchers and irritates experienced ones.
  15. Maemura, E.; Worby, N.; Milligan, I.; Becker, C.: If these crawls could talk : studying and documenting web archives provenance (2018) 0.01
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  16. Nikolov, D.; Lalmas, M.; Flammini, A.; Menczer, F.: Quantifying biases in online information exposure (2019) 0.01
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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."
  17. Pluye, P.; El Sherif, R.; Granikov, V.; Hong, Q.N.; Vedel, I.; Barbosa Galvao, M.C.; Frati, F.E.Y.; Desroches, S.; Repchinsky, C.; Rihoux, B.; Légaré, F.; Burnand, B.; Bujold, M.; Grad, R.: Health outcomes of online consumer health information : a systematic mixed studies review with framework synthesis (2019) 0.01
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  18. Dufour, C.; Bartlett, J.C.; Toms, E.G.: Understanding how webcasts are used as sources of information (2011) 0.01
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    Date
    22. 1.2011 14:16:14
  19. Zimmer, M.; Proferes, N.J.: ¬A topology of Twitter research : disciplines, methods, and ethics (2014) 0.01
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    Date
    20. 1.2015 18:30:22
  20. Bhattacharya, S.; Yang, C.; Srinivasan, P.; Boynton, B.: Perceptions of presidential candidates' personalities in twitter (2016) 0.01
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    Date
    22. 1.2016 11:25:47