hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The perception of useful information derived from Twitter: A survey of professionals
Halmstad University, School of Business, Engineering and Science, Centre for Innovation, Entrepreneurship and Learning Research (CIEL), Centre for International Marketing and Entrepreneurship Research (CIMER).ORCID iD: 0000-0002-2427-3148
FURB, Blumeanau, Brazil.ORCID iD: 0000-0002-7430-562X
Halmstad University, School of Business, Engineering and Science, Centre for Innovation, Entrepreneurship and Learning Research (CIEL), Centre for International Marketing and Entrepreneurship Research (CIMER).ORCID iD: 0000-0002-0419-8654
2017 (English)In: Journal of Intelligence Studies in Business, E-ISSN 2001-015X, Vol. 7, no 3, p. 50-61Article in journal (Refereed) Published
Abstract [en]

In this study we gathered data from 220 professional users of information via a survey. Twitter is perceived as a service for useful information but not for the reason one may expect, not because the content of the tweets give valuable information, but because of what can be derived and extracted from the information that is being tweeted and not tweeted. Professional users are aware that tweets are being manipulated by communication departments so they adjust for this in their understanding of the content that is being delivered. For the same reason “fake news” is not seen as a problem either by professionals. Twitter is seen as valuable alongside other social media software (additional software solutions) and used directly together with other software (integrated software solutions). As a stand-alone service it is found to be of less value to experienced users and there are no signs that Twitter is a valuable tool for learning. 

Place, publisher, year, edition, pages
Halmstad: Halmstad University , 2017. Vol. 7, no 3, p. 50-61
Keywords [en]
Bots, business intelligence, competitive intelligence, consumer opinion mining, sentiment analysis, social media, Twitter
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:hh:diva-38612ISI: 000419293200005Scopus ID: 2-s2.0-85037333931OAI: oai:DiVA.org:hh-38612DiVA, id: diva2:1270842
Available from: 2018-12-14 Created: 2018-12-14 Last updated: 2024-07-04Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

ScopusFull text

Authority records

Solberg Søilen, KlausTontini, GersonAagerup, Ulf

Search in DiVA

By author/editor
Solberg Søilen, KlausTontini, GersonAagerup, Ulf
By organisation
Centre for International Marketing and Entrepreneurship Research (CIMER)
In the same journal
Journal of Intelligence Studies in Business
Economics and Business

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 159 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf