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A field trial on mobile crowdsourcing of news content: Factors influencing participation

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Original languageEnglish
Title of host publicationHuman-Computer Interaction, INTERACT 2013, 14th IFIP TC 13 International Conference, Cape Town, South Africa, September 2-6, 2013, Proceedings, Part III
Place of PublicationBerlin, Germany
Number of pages20
Volume8119 LNCS
EditionPART 3
ISBN (Electronic)978-3-642-40477-1
ISBN (Print)978-3-642-40476-4
Publication statusPublished - 2013
Publication typeA4 Article in a conference publication
Event14th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2013 - Cape Town, South Africa
Duration: 2 Sep 20136 Sep 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume8119 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference14th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2013
CountrySouth Africa
CityCape Town


We conducted a five-week field trial on mobile crowdsourcing of hyperlocal news content to 1) understand the readers' experiences and 2) explore factors affecting their participation. In the end of the study the participants were surveyed with an online questionnaire (17/104 respondents) and five participants were interviewed. Although respondents and interviewees were enthusiastic about the trial, the activity in the trial was low. Results indicate that participant characteristics (age, gender, participation motivations and hobbyist background in photography) and task characteristics in terms of the subjectively perceived task significance (possible impact on important issues in the environment or on community), task relevance (related to the background and participation motivation), and task engagingness have an effect on the participation. In addition, participation was influenced by the estimated needed effort vs. the expected benefit (monetary benefit or having a possibility to influence), vicinity to the assignment location, enjoyment of the activity, and the monetary reward. To plan and manage the crowdsourcing activity the news publishers need information about the characteristics of the participants, participation patterns and motivations that could be provided by the crowdsourcing platform.


  • Crowdsourcing, hyperlocal, location, mobile, motivation, news, photo, reader, Scoopshot, ubiquitous, user-generated content

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Field of science, Statistics Finland

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