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  • 1.
    Gunnarsson, David
    University of Borås, Swedish School of Library and Information Science.
    Review of: Sauers, Michael P. Searching 2.0. London: Facet Publishing, 20092009In: Information research, ISSN 1368-1613, E-ISSN 1368-1613, Vol. 14, no 3Article, book review (Other academic)
  • 2.
    Gunnarsson Lorentzen, David
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Following Tweets Around: Informetric methodology for the Twittersphere2016Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    The purpose of this thesis is to critically discuss methods to collect and analyse data related to the interaction and content on the social platform Twitter. The thesis contains examples of how networked communication can be studied on Twitter, based on the affordances of the platform considering interaction with interfaces and other users. The foundational problem is that social science Twitter research has been based on easily accessible data without introducing or discussing criteria for collecting appropriate samples for a given research task.The thesis builds on one literature review and four studies of political Twitter communication. The analyses are based on a view of the Twitter platform as a non-neutral filtering gatekeeper. On the one hand, Twitter treats content and users asymmetrically, by emphasising the popular. On the other hand, Twitter determines what data are available and how data can be accessed through the API (application programming interface). How Twitter provides access to the data in turn affects the analyses the researcher does. The central problem of the thesis is that researchers do not know what relevant data are not collected. Data collection based on keywords, hashtags or users creates data sets that contain fragments of conversations. To solve the problem, a new method was developed. By combining the hashtag and user-based methods, replies to collected tweets were stored, regardless if they contained a tracked hashtag or not.The four studies this thesis builds on show a complexity of collecting and analysing Twitter data. A key finding is that conversations beyond the hashtag can be quite extensive. As a consequence of this, communication networks based on hashtagged replies were found to be potentially very different from networks based on replies from a more complete data set, where non-hashtagged replies are also included. A network based on hashtagged communication is thus misleading compared to a complete communication network.Apart from that it is not entirely trivial to identify the parameters to define what should be studied; tests of the API showed that complete data sets cannot be obtained. Therefore, it is important to reflect on both the data collected and the data excluded, not only as a result of the sampling criteria but also what is not given access to. It is also important to be clear about the affordances for interaction that exist when the study is made, both in the user interface but also what API allows and permits.This research contributes with knowledge about how Twitter is used in the context being studied, but the main contribution is methodological. With the method developed, collection of more complete data sets is enabled, as is analysis of the conversations that take place on the platform. This results in more accurate measurements of the activity. Based on the results of this thesis, there are reasons to suspect that previous studies could differ in terms of results such as communication network size and shape, as well as the type of users that emerges as prominent in the material, compared to if replies that do not contain the studied hashtag had been collected.

  • 3.
    Gunnarsson Lorentzen, David
    University of Borås, Swedish School of Library and Information Science.
    Webometrics benefitting from web mining? An investigation of methods and applications of two research fields2014In: Scientometrics, ISSN 0138-9130, E-ISSN 1588-2861, Vol. 99, no 2Article in journal (Refereed)
    Abstract [en]

    This is a cross-field literature review and comparison of the fields webometrics (cybermetrics) and web (data) mining.

  • 4.
    Gunnarsson Lorenzen, David
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Discussing research on Twitter: Measuring the conversational impact of scientific publications2018Conference paper (Other academic)
  • 5.
    Gunnarsson Lorenzen, David
    et al.
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Eklund, Johan
    Nelhans, Gustaf
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Ekström, Björn
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    On the potential for detecting scientific issues and controversies on Twitter: A method for investigation conversations mentioning research2019In: Proceedings of ISSI., 2019, p. 2189-2198, article id 375Conference paper (Refereed)
    Abstract [en]

    In this study, we demonstrate how to collect Twitter conversations emanating from or referring to scientific papers. We propose segmenting the conversational threads into smaller segments and then compare them using information retrieval techniques, in order to find differences and similarities between discussions and within discussions. While the method still can be improved, the study shows that it is possible to collect larger conversations about research on Twitter, and that these are suitable for various automated methods. We do however identify a need to analyse these with qualitative methods as well.

  • 6.
    Lorentzen, David
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Is it all about politics?: A hashtag analysis of the activities of the Swedish political Twitter elite2017In: Human IT, ISSN 1402-151X, Vol. 13, no 3, p. 115-155Article in journal (Refereed)
    Abstract [en]

    Purpose: The purpose of this paper is to map the topics discussed over three four week periods among a set of predefined Twitter users.

    Method: 985 Twitter users were selected from an eight week pilot study of conversations around a political hashtag. These were tracked for a total of twelve weeks during one year. The hashtags in tweets posted by and to these users were analysed with regards to co-occurrences and trends.

    Findings: Overall, political topics dominated the activities of and around the Twitter elite. Differences between usage of hashtags could be seen when considering only tweets posted by the tracked users compared to when considering all tweets in the dataset. The 258 most often used hashtags were closely related to most other prominent hashtags.

    Originality: This longitudinal study sheds light over how topics and hashtags evolve over time.

  • 7.
    Lorentzen, David
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Polarisation in Political Twitter Conversations2014In: Aslib Journal of Information Management, ISSN 2050-3806, Vol. 66, no 3, p. 329-341Article in journal (Refereed)
    Abstract [en]

    Purpose: The purpose of this paper is to describe and analyse relationships and communication between Twitter actors in Swedish political conversations. More specifically, the paper aims to identify the most prominent actors, among these actors identify the sub-groups of actors with similar political affiliations, and describe and analyse the relationships and communication between these sub-groups.

    Design/methodology/approach: Data were collected during four weeks in September 2012, using Twitter API. The material included 77,436 tweets from 10,294 Twitter actors containing the hashtag #svpol. In total, 916 prominent actors were identified and categorised according to the main political blocks, using information from their profiles. Social network analysis was utilised to map the relationships and the communication between these actors.

    Findings: There was a marked dominance of the three main political blocks among the 916 most prominent actors: left block, centre-right block, and right-wing block. The results from the social network analysis suggest that while polarisation exists in both followership and re-tweet networks, actors follow and re-tweet actors from other groups. The mention network did not show any signs of polarisation. The blocks differed from each other with the right-wingers being tighter and far more active, but also more distant from the others in the followership network.

    Originality/value: While a few papers have studied political polarisation on Twitter, this is the first to study the phenomenon using followership data, mention data, and re-tweet data.

  • 8.
    Lorentzen, David
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Twitter conversation dynamics of political controversies: The case of Sweden's December Agreement2016In: Information research, ISSN 1368-1613, E-ISSN 1368-1613, Vol. 21, no 2, article id SM3Article in journal (Refereed)
    Abstract [en]

    Introduction. Following the news of an extraordinary agreement between six political parties, intense discussions on Twitter took place, suitable for investigation of political controversies on the platform. The purpose is to analyse threaded conversations on Twitter in relation to this political event.

    Method. By using the streaming API with a set of hashtags and the most active participants in the conversations, tweets related to the event and tweets belonging to the follow-on conversation were captured. From this set, the replies were used to build conversational threads.

    Analysis. The dataset was analysed using both quantitative and qualitative methods. The overall lifecycle of the conversations was outlined using statistical methods. Ten conversational threads were studied using qualitative content analysis.

    Results. Immediately after the agreement, activity was focused on information diffusion, but following this, discussions emerged. Politicians were frequently talked to but rarely replied to tweets directed to them. Citizens from the general public dominated the activity.

    Conclusions. Conversations do exist beyond the hashtag but few examples of democratic debate were found. Conversations are more likely to develop within tightly knit groups followership-wise. Echo chambers as well as discussions where non like-minded argued were identified. Consensus formation was not common.

  • 9. Lorentzen, David
    Webometrics benefitting from web mining?: An investigation of methods and applications of two research fields2014In: Scientometrics, ISSN 0138-9130, E-ISSN 1588-2861, ISSN 0138-9130 1588-2861, Vol. 99, no 2, p. 409-445Article in journal (Refereed)
    Abstract [en]

    Webometrics and web mining are two fields where research is focused on quantitative analyses of the web. This literature review outlines definitions of the fields, and then focuses on their methods and applications. It also discusses the potential of closer contact and collaboration between them. A key difference between the fields is that webometrics has focused on exploratory studies, whereas web mining has been dominated by studies focusing on development of methods and algorithms. Differences in type of data can also be seen, with webometrics more focused on analyses of the structure of the web and web mining more focused on web content and usage, even though both fields have been embracing the possibilities of user generated content. It is concluded that research problems where big data is needed can benefit from collaboration between webometricians, with their tradition of exploratory studies, and web miners, with their tradition of developing methods and algorithms.

  • 10.
    Lorentzen, David
    et al.
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Nolin, Jan
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Approaching Completeness: Capturing a Hashtagged Twitter Conversation and its Follow-On Conversation2015In: Social science computer review, ISSN 0894-4393, E-ISSN 1552-8286, Vol. 35, no 2, p. 277-286Article in journal (Refereed)
    Abstract [en]

    The aim of this article is to engage with problems of sampling and completeness currently discussed within data science through the specific example of conversations in Twitter. Some of the difficulties involved in Twitter concern restrictions laid out by platform owners, restrictions that make it difficult for researchers to collect complete conversations. A contribution is made through the development of a method for collecting and analyzing follow-on conversations around a set of hashtags. This was made possible through the simultaneous tracking of a set of hashtags and prominent participants in the conversation. The full set of tweets was compared to the subset of tweets including either of the selected hashtags. Including follow-on conversation increased the set of tweets by 56% and the set of tweeting users by 17%. It is also shown that different network analysis techniques and filtering options give different results with regard to prominent users.

  • 11.
    Nelhans, Gustaf
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Twitter conversation patterns related to research papers2016In: Information research, ISSN 1368-1613, E-ISSN 1368-1613, Vol. 21, no 2, article id SM2Article in journal (Refereed)
    Abstract [en]

    Introduction. This paper deals with what academic texts and datasets are referred to and discussed on Twitter. We used document object identifiers as references to these items. Method. We streamed tweets from the Twitter application programming interface including the strings "dx" and "doi" while simultaneously streaming tweets posted by and to the authors of the tweets captured. By doing so we were able to capture tweets referring to a digital object as well as the replies to these tweets. Analysis. The captured tweets were analysed in different ways, both quantitatively and qualitatively. 1) Bibliometric analyses were made on the digital object identifiers, 2) the thirty of thesee most mentioned and retweeted were analysed and 3) the conversations with at least ten tweets were analysed using content analysis. Results. Research from the natural sciences was most prominent, as was research published in open access journals. Different types of conversations relating to the digital objects were found, both when looking at them qualitative and their visual structure in terms of nodes and arcs. The conversations involved academics but were not always academic in nature. Conclusions. Digital object identifiers were mainly referred to for self-promotion, as conversation starters or as arguments in discussions.

  • 12.
    Wallin, Birgitta
    et al.
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Tattersall Wallin, Elisa
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Gunnarsson Lorenzen, David
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Bokläsning och den svenska bokmarknaden2019In: Storm och stiltje / [ed] Ulrika Andersson, Björn Rönnerstrand, Patrik Öhberg & Annika Bergström, Göteborg: Göteborgs universitet: SOM-institutet , 2019Chapter in book (Other academic)
    Abstract [sv]

    Det här kapitlet behandlar frågor som på olika sätt rör böcker, bokläsning och distri-bution av e-litteratur på den svenska bokmarknaden. Exempelvis analyseras hur stor andel av svenska folket som läser böcker, i vilka format de läser, och hur ofta de läser. Olika samhällsgruppers läsvanor analyseras, liksom hur läsningen har förändrats över tid. Några av de resultat som framkommer är att läsning av e-böcker fortsätter öka. Andelen som läser e-fackböcker har ökat från 13 till 16 procent mellan 2017 och 2018 samtidigt som andelen läsare av e-skönlitteratur har ökat från 16 till 18 procent. Lyssning av ljudböcker har ökat för facklitteratur från 9 till 14 procent medan lyss-ning av skönlitteratur har ökat från 26 till 29 procent. Statistik från bokbranschen tyder på att allt fler använder sig av prenumerationstjänster för sin konsumtion av digitala böcker, vilket är en fråga som kommer att diskuteras i kapitlet tillsammans med tillgången till digitala böcker via folkbibliotek och bokhandel.

1 - 12 of 12
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