Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313251476> ?p ?o ?g. }
- W4313251476 endingPage "375" @default.
- W4313251476 startingPage "353" @default.
- W4313251476 abstract "ABSTRACTThis study segmented digital news users according to their engagement with news personalization services. A national survey of 1,369 randomly selected digital news users was conducted. Three groups were identified through latent class analysis: Optimizers, Mainstreamers, and Skeptics. Optimizers had the most favorable attitude toward the services and the highest perceived contingency of news personalization. Skeptics showed the least favorable attitude and had the lowest perceived contingency. Optimizers were the most active consumers of digital news platforms, whereas skeptics were lagging in using digital news services. The study discussed the differences between these groups and their implications on news organizations. Disclosure StatementNo potential conflict of interest was reported by the authors.Additional informationFundingThe work was supported by the Tow Center for Digital Journalism at Columbia University’s Graduate School of Journalism.Notes on contributorsJoon Soo LimJoon Soo Lim, (Ph.D University of Florida) is an associate professor of the S.I. Newhouse School of Public Communications at Syracuse University. His research interests include organizational adoption of disruptive innovations, consumer brand engagement, social media engagement, and stakeholder engagement strategies in CSR communication.Donghee ShinDonghee Shin, (Ph.D & M.S., Syracuse University) is a professor at the College of Communication and Media Sciences at Zayed University. His research interests include digital journalism, human-computer interaction, and algorithmic media. His recent research in computer/algorithm as media addresses: embodied cognition, the subjective value of information, interaction and interactivity.Jun ZhangJun Zhang, (Ph.D Syracuse University) is an assistant professor at the School of Journalism and Strategic Media at Middle Tennessee State University. Her research interests are in the areas of emerging information technologies and their impact on communicative behavior, crisis communication, and health misinformation.Stephen MasiclatStephen Masiclat, (M.S. Cornell University) is the Director of Education Technology for the Innovation Foundation. His research focus is applied artificial intelligence for learning support.Regina LuttrellRegina Luttrell, (Ph.D California Institute of Integral Studies) is an associate professor of public relations and the associate dean for research & creative activity at Syracuse University. Her research interests focus on public relations, artificial intelligence, mis/disinformation, a multi-generational workforce, and the intersection of social media with society.Dennis KinseyDennis F. Kinsey (Ph.D. Communication, Stanford University) is a professor of public relations and director of the Public Diplomacy and Global Communications program at Syracuse University. His research interests include the scientific study of subjectivity." @default.
- W4313251476 created "2023-01-06" @default.
- W4313251476 creator A5033766968 @default.
- W4313251476 creator A5037240885 @default.
- W4313251476 creator A5056750778 @default.
- W4313251476 creator A5065027475 @default.
- W4313251476 creator A5068063933 @default.
- W4313251476 creator A5071672663 @default.
- W4313251476 date "2022-12-26" @default.
- W4313251476 modified "2023-10-02" @default.
- W4313251476 title "News Audiences in the Age of Artificial Intelligence: Perceptions and Behaviors of Optimizers, Mainstreamers, and Skeptics" @default.
- W4313251476 cites W1801213483 @default.
- W4313251476 cites W1964149014 @default.
- W4313251476 cites W2003792158 @default.
- W4313251476 cites W2020789613 @default.
- W4313251476 cites W2027336168 @default.
- W4313251476 cites W2030691215 @default.
- W4313251476 cites W2036347082 @default.
- W4313251476 cites W2071899507 @default.
- W4313251476 cites W2079445663 @default.
- W4313251476 cites W2090330784 @default.
- W4313251476 cites W2121107665 @default.
- W4313251476 cites W2129460014 @default.
- W4313251476 cites W2171312436 @default.
- W4313251476 cites W2177538457 @default.
- W4313251476 cites W2522763680 @default.
- W4313251476 cites W2564791907 @default.
- W4313251476 cites W2768134341 @default.
- W4313251476 cites W2792586093 @default.
- W4313251476 cites W2884443195 @default.
- W4313251476 cites W2890472113 @default.
- W4313251476 cites W2896125123 @default.
- W4313251476 cites W2904849632 @default.
- W4313251476 cites W2920369175 @default.
- W4313251476 cites W2953038565 @default.
- W4313251476 cites W3039339422 @default.
- W4313251476 cites W3086286002 @default.
- W4313251476 cites W3110850177 @default.
- W4313251476 cites W3137457055 @default.
- W4313251476 cites W3149759386 @default.
- W4313251476 cites W3186240982 @default.
- W4313251476 cites W4221048843 @default.
- W4313251476 doi "https://doi.org/10.1080/08838151.2022.2162901" @default.
- W4313251476 hasPublicationYear "2022" @default.
- W4313251476 type Work @default.
- W4313251476 citedByCount "1" @default.
- W4313251476 countsByYear W43132514762023 @default.
- W4313251476 crossrefType "journal-article" @default.
- W4313251476 hasAuthorship W4313251476A5033766968 @default.
- W4313251476 hasAuthorship W4313251476A5037240885 @default.
- W4313251476 hasAuthorship W4313251476A5056750778 @default.
- W4313251476 hasAuthorship W4313251476A5065027475 @default.
- W4313251476 hasAuthorship W4313251476A5068063933 @default.
- W4313251476 hasAuthorship W4313251476A5071672663 @default.
- W4313251476 hasConcept C111472728 @default.
- W4313251476 hasConcept C112698675 @default.
- W4313251476 hasConcept C119513131 @default.
- W4313251476 hasConcept C136764020 @default.
- W4313251476 hasConcept C138885662 @default.
- W4313251476 hasConcept C144024400 @default.
- W4313251476 hasConcept C144133560 @default.
- W4313251476 hasConcept C144430266 @default.
- W4313251476 hasConcept C15744967 @default.
- W4313251476 hasConcept C17632256 @default.
- W4313251476 hasConcept C17744445 @default.
- W4313251476 hasConcept C18296254 @default.
- W4313251476 hasConcept C183003079 @default.
- W4313251476 hasConcept C29595303 @default.
- W4313251476 hasConcept C39549134 @default.
- W4313251476 hasConcept C41008148 @default.
- W4313251476 hasConcept C49774154 @default.
- W4313251476 hasConcept C518677369 @default.
- W4313251476 hasConceptScore W4313251476C111472728 @default.
- W4313251476 hasConceptScore W4313251476C112698675 @default.
- W4313251476 hasConceptScore W4313251476C119513131 @default.
- W4313251476 hasConceptScore W4313251476C136764020 @default.
- W4313251476 hasConceptScore W4313251476C138885662 @default.
- W4313251476 hasConceptScore W4313251476C144024400 @default.
- W4313251476 hasConceptScore W4313251476C144133560 @default.
- W4313251476 hasConceptScore W4313251476C144430266 @default.
- W4313251476 hasConceptScore W4313251476C15744967 @default.
- W4313251476 hasConceptScore W4313251476C17632256 @default.
- W4313251476 hasConceptScore W4313251476C17744445 @default.
- W4313251476 hasConceptScore W4313251476C18296254 @default.
- W4313251476 hasConceptScore W4313251476C183003079 @default.
- W4313251476 hasConceptScore W4313251476C29595303 @default.
- W4313251476 hasConceptScore W4313251476C39549134 @default.
- W4313251476 hasConceptScore W4313251476C41008148 @default.
- W4313251476 hasConceptScore W4313251476C49774154 @default.
- W4313251476 hasConceptScore W4313251476C518677369 @default.
- W4313251476 hasIssue "3" @default.
- W4313251476 hasLocation W43132514761 @default.
- W4313251476 hasOpenAccess W4313251476 @default.
- W4313251476 hasPrimaryLocation W43132514761 @default.
- W4313251476 hasRelatedWork W1965950838 @default.
- W4313251476 hasRelatedWork W203009033 @default.
- W4313251476 hasRelatedWork W2098253942 @default.
- W4313251476 hasRelatedWork W2201891250 @default.