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  • × year_i:[2020 TO 2030}
  • × language_ss:"e"
  1. Li, Y.; Kobsa, A.: Context and privacy concerns in friend request decisions (2020) 0.08
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    Abstract
    Friend request acceptance and information disclosure constitute 2 important privacy decisions for users to control the flow of their personal information in social network sites (SNSs). These decisions are greatly influenced by contextual characteristics of the request. However, the contextual influence may not be uniform among users with different levels of privacy concerns. In this study, we hypothesize that users with higher privacy concerns may consider contextual factors differently from those with lower privacy concerns. By conducting a scenario-based survey study and structural equation modeling, we verify the interaction effects between privacy concerns and contextual factors. We additionally find that users' perceived risk towards the requester mediates the effect of context and privacy concerns. These results extend our understanding about the cognitive process behind privacy decision making in SNSs. The interaction effects suggest strategies for SNS providers to predict user's friend request acceptance and to customize context-aware privacy decision support based on users' different privacy attitudes.
  2. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.05
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  3. Azpiazu, I.M.; Soledad Pera, M.: Is cross-lingual readability assessment possible? (2020) 0.03
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    Abstract
    Most research efforts related to automatic readability assessment focus on the design of strategies that apply to a specific language. These state-of-the-art strategies are highly dependent on linguistic features that best suit the language for which they were intended, constraining their adaptability and making it difficult to determine whether they would remain effective if they were applied to estimate the level of difficulty of texts in other languages. In this article, we present the results of a study designed to determine the feasibility of a cross-lingual readability assessment strategy. For doing so, we first analyzed the most common features used for readability assessment and determined their influence on the readability prediction process of 6 different languages: English, Spanish, Basque, Italian, French, and Catalan. In addition, we developed a cross-lingual readability assessment strategy that serves as a means to empirically explore the potential advantages of employing a single strategy (and set of features) for readability assessment in different languages, including interlanguage prediction agreement and prediction accuracy improvement for low-resource languages.Friend request acceptance and information disclosure constitute 2 important privacy decisions for users to control the flow of their personal information in social network sites (SNSs). These decisions are greatly influenced by contextual characteristics of the request. However, the contextual influence may not be uniform among users with different levels of privacy concerns. In this study, we hypothesize that users with higher privacy concerns may consider contextual factors differently from those with lower privacy concerns. By conducting a scenario-based survey study and structural equation modeling, we verify the interaction effects between privacy concerns and contextual factors. We additionally find that users' perceived risk towards the requester mediates the effect of context and privacy concerns. These results extend our understanding about the cognitive process behind privacy decision making in SNSs. The interaction effects suggest strategies for SNS providers to predict user's friend request acceptance and to customize context-aware privacy decision support based on users' different privacy attitudes.
  4. Fugmann, R.: What is information? : an information veteran looks back (2022) 0.01
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    Date
    18. 8.2022 19:22:57
  5. Morris, V.: Automated language identification of bibliographic resources (2020) 0.01
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    Date
    2. 3.2020 19:04:22
  6. Tay, A.: ¬The next generation discovery citation indexes : a review of the landscape in 2020 (2020) 0.01
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    Date
    17.11.2020 12:22:59
  7. Manley, S.: Letters to the editor and the race for publication metrics (2022) 0.01
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    Date
    6. 4.2022 19:22:26
  8. Wu, P.F.: Veni, vidi, vici? : On the rise of scrape-and-report scholarship in online reviews research (2023) 0.01
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    Date
    22. 1.2023 18:33:53
  9. Candela, G.: ¬An automatic data quality approach to assess semantic data from cultural heritage institutions (2023) 0.01
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    Date
    22. 6.2023 18:23:31
  10. Geras, A.; Siudem, G.; Gagolewski, M.: Should we introduce a dislike button for academic articles? (2020) 0.01
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    Date
    6. 1.2020 18:10:22
  11. Bullard, J.; Dierking, A.; Grundner, A.: Centring LGBT2QIA+ subjects in knowledge organization systems (2020) 0.01
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    Date
    6.10.2020 21:22:33
  12. Lorentzen, D.G.: Bridging polarised Twitter discussions : the interactions of the users in the middle (2021) 0.01
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    Date
    20. 1.2015 18:30:22
  13. Park, Y.J.: ¬A socio-technological model of search information divide in US cities (2021) 0.01
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    Date
    20. 1.2015 18:30:22
  14. Cooke, N.A.; Kitzie, V.L.: Outsiders-within-Library and Information Science : reprioritizing the marginalized in critical sociocultural work (2021) 0.01
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    Date
    18. 9.2021 13:22:27
  15. Zheng, X.; Chen, J.; Yan, E.; Ni, C.: Gender and country biases in Wikipedia citations to scholarly publications (2023) 0.01
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    Date
    22. 1.2023 18:53:32
  16. Ma, Y.: Relatedness and compatibility : the concept of privacy in Mandarin Chinese and American English corpora (2023) 0.01
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    Date
    22. 1.2023 18:59:40
  17. Ma, L.: Information, platformized (2023) 0.01
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    Date
    22. 1.2023 19:01:47
  18. Hertzum, M.: Information seeking by experimentation : trying something out to discover what happens (2023) 0.01
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    Date
    21. 3.2023 19:22:29
  19. Milard, B.; Pitarch, Y.: Egocentric cocitation networks and scientific papers destinies (2023) 0.01
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    Date
    21. 3.2023 19:22:14
  20. Kuehn, E.F.: ¬The information ecosystem concept in information literacy : a theoretical approach and definition (2023) 0.01
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    Date
    22. 3.2023 11:52:50

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