Too much information? Predictors of information overload in the context of online news exposure

被引:114
|
作者
Schmitt, Josephine B. [1 ]
Debbelt, Christina A. [2 ]
Schneider, Frank M. [3 ]
机构
[1] Univ Cologne, Dept Psychol Media & Commun Psychol, Richard Strauss Str 2, D-50931 Cologne, Germany
[2] Univ Hohenheim, Inst Commun, Stuttgart, Germany
[3] Univ Mannheim, Inst Media & Commun Studies, Mannheim, Germany
关键词
Information overload; self-efficacy; online news exposure; motivations for media consumption; information retrieval strategies; COGNITIVE MEDIATION MODEL; SELF-EFFICACY; INTERNET USE; ENJOYMENT; BEHAVIOR; SCIENCE; PERSPECTIVE; STRATEGIES; KNOWLEDGE; CAPACITY;
D O I
10.1080/1369118X.2017.1305427
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
As the Internet provides massive amounts of heterogeneous information, people may perceive this medium as challenging. The difficulty to evaluate and select relevant information increases as more and more diverse sources and content are available. Information overload (IO) may be the consequence. The research presented here gives a first comprehensive overview of possible indicators for IO in the context of online news exposure. Based on an online survey (N=419), we found that younger people with less information-seeking self-efficacy were more susceptible to experience IO. Additionally, we identified motivations for media consumption and information retrieval strategies in the Internet that imply IO. With our results, we contribute to a further understanding of IO and provide an important basis for future research needed to face the challenges resulting from the rising media diversity.
引用
收藏
页码:1151 / 1167
页数:17
相关论文
共 50 条
  • [41] Too much information? Not for long
    Eisenstein, M
    NATURE METHODS, 2004, 1 (03) : 190 - 190
  • [42] WHEN INFORMATION OVERLOAD IS TOO MUCH OF A GOOD THING (AN INTRODUCTION AND REPRINT OF TOO MUCH OF A GOOD THING - DILEMMAS OF AN INFORMATION SOCIETY BY MICHAEL,DONALD,N.
    GARFIELD, E
    CURRENT CONTENTS, 1985, 3 : 3 - 11
  • [43] TOO MUCH INFORMATION CAN BE TOO MUCH FOR LEARNING EFFICIENTLY
    WIEHAGEN, R
    ZEUGMANN, T
    LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 1992, 642 : 72 - 86
  • [44] “Sorry, too much information”—Designing online review systems that support information search and processing
    Janina Seutter
    Kristin Kutzner
    Maren Stadtländer
    Dennis Kundisch
    Ralf Knackstedt
    Electronic Markets, 2023, 33
  • [45] "Sorry, too much information"-Designing online review systems that support information search and processing
    Seutter, Janina
    Kutzner, Kristin
    Stadtlaender, Maren
    Kundisch, Dennis
    Knackstedt, Ralf
    ELECTRONIC MARKETS, 2023, 33 (01)
  • [46] A Wealth of Information or Too Much Information? Examining the Effectiveness of Supplementary Corpus Examples in Online Dictionaries
    Ptasznik, Bartosz
    GEMA ONLINE JOURNAL OF LANGUAGE STUDIES, 2024, 24 (01): : 18 - 37
  • [47] Information Overload and its Consequences in the Context of Online Consumer Reviews
    Park, Do-Hyung
    Lee, Jumin
    Han, Ingoo
    PACIFIC ASIA CONFERENCE ON INFORMATION SYSTEMS 2006, SECTIONS 1-8, 2006, : 197 - 209
  • [48] How much information is too much for patients?
    Mossman, Jean
    JOURNAL OF RISK RESEARCH, 2016, 19 (09) : 1114 - 1117
  • [49] Too much campaing, too little information
    de Assis, Monica
    INTERFACE-COMUNICACAO SAUDE EDUCACAO, 2018, 22 (64): : 269 - 271
  • [50] TOO MUCH DATA - TOO LITTLE INFORMATION
    GROSSER, D
    UMSCHAU, 1985, 85 (11): : 644 - 644