Search (59 results, page 1 of 3)

  • × author_ss:"Lewandowski, D."
  1. Lewandowski, D.; Spree, U.: ¬Die Forschungsgruppe Search Studies an der HAW Hamburg (2019) 0.04
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    Source
    Information - Wissenschaft und Praxis. 70(2019) H.1, S.1-2
    Type
    a
  2. Lewandowski, D.; Spree, U.: Ranking of Wikipedia articles in search engines revisited : fair ranking for reasonable quality? (2011) 0.03
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    Abstract
    This paper aims to review the fiercely discussed question of whether the ranking of Wikipedia articles in search engines is justified by the quality of the articles. After an overview of current research on information quality in Wikipedia, a summary of the extended discussion on the quality of encyclopedic entries in general is given. On this basis, a heuristic method for evaluating Wikipedia entries is developed and applied to Wikipedia articles that scored highly in a search engine retrieval effectiveness test and compared with the relevance judgment of jurors. In all search engines tested, Wikipedia results are unanimously judged better by the jurors than other results on the corresponding results position. Relevance judgments often roughly correspond with the results from the heuristic evaluation. Cases in which high relevance judgments are not in accordance with the comparatively low score from the heuristic evaluation are interpreted as an indicator of a high degree of trust in Wikipedia. One of the systemic shortcomings of Wikipedia lies in its necessarily incoherent user model. A further tuning of the suggested criteria catalog, for instance, the different weighing of the supplied criteria, could serve as a starting point for a user model differentiated evaluation of Wikipedia articles. Approved methods of quality evaluation of reference works are applied to Wikipedia articles and integrated with the question of search engine evaluation.
    Date
    30. 9.2012 19:27:22
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.1, S.117-132
    Type
    a
  3. Lewandowski, D.; Haustein, S.: What does the German-language information science community cite? (2015) 0.03
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    Pages
    S.93-104
    Source
    Re:inventing information science in the networked society: Proceedings of the 14th International Symposium on Information Science, Zadar/Croatia, 19th-21st May 2015. Eds.: F. Pehar, C. Schloegl u. C. Wolff
    Type
    a
  4. Lewandowski, D.: Suchmaschinen (2013) 0.03
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    Pages
    S.495-508
    Source
    Grundlagen der praktischen Information und Dokumentation. Handbuch zur Einführung in die Informationswissenschaft und -praxis. 6., völlig neu gefaßte Ausgabe. Hrsg. von R. Kuhlen, W. Semar u. D. Strauch. Begründet von Klaus Laisiepen, Ernst Lutterbeck, Karl-Heinrich Meyer-Uhlenried
    Type
    a
  5. Lewandowski, D.: Mit welchen Kennzahlen lässt sich die Qualität von Suchmaschinen messen? (2007) 0.02
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    Pages
    S.243-258
    Source
    Macht der Suchmaschinen: The Power of Search Engines. Hrsg.: Machill, M. u. M. Beiler
    Type
    a
  6. Lewandowski, D.; Sünkler, S.; Kerkmann, F.: Are ads on Google search engine results pages labeled clearly enough? : the influence of knowledge on search ads on users' selection behaviour (2017) 0.02
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    Abstract
    In an online experiment using a representative sample of the German online population (n = 1.000), we compare users' selection behaviour on two versions of the same Google search engine results page (SERP), one showing advertisements and organic results, the other showing organic results only. Selection behaviour is analyzed in relation to users' knowledge on Google's business model, on SERP design, and on these users' actual performance in marking advertisements on SERPs correctly. We find that users who were not able to mark ads correctly selected ads significantly more often. This leads to the conclusion that ads need to be labeled more clearly, and that there is a need for more information literacy in search engine users.
    Pages
    S.62-75
    Source
    Everything changes, everything stays the same? - Understanding information spaces : Proceedings of the 15th International Symposium of Information Science (ISI 2017), Berlin/Germany, 13th - 15th March 2017. Eds.: M. Gäde, V. Trkulja u. V. Petras
    Type
    a
  7. Lewandowski, D.: Alles nur noch Google? : Entwicklungen im Bereich der WWW-Suchmaschinen (2002) 0.02
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    Date
    29. 9.2002 18:49:22
    Source
    BuB. 54(2002) H.9, S.558-561
    Type
    a
  8. Lewandowski, D.: Abfragesprachen und erweiterte Funktionen von WWW-Suchmaschinen (2004) 0.02
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    Date
    28.11.2004 13:11:22
    Source
    Information - Wissenschaft und Praxis. 55(2004) H.2, S.97-102
    Type
    a
  9. Lewandowski, D.: Query understanding (2011) 0.02
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    Date
    18. 9.2018 18:22:18
    Pages
    S.55-75
    Type
    a
  10. Lewandowski, D.; Sünkler, S.: What does Google recommend when you want to compare insurance offerings? (2019) 0.01
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    Abstract
    Purpose The purpose of this paper is to describe a new method to improve the analysis of search engine results by considering the provider level as well as the domain level. This approach is tested by conducting a study using queries on the topic of insurance comparisons. Design/methodology/approach The authors conducted an empirical study that analyses the results of search queries aimed at comparing insurance companies. The authors used a self-developed software system that automatically queries commercial search engines and automatically extracts the content of the returned result pages for further data analysis. The data analysis was carried out using the KNIME Analytics Platform. Findings Google's top search results are served by only a few providers that frequently appear in these results. The authors show that some providers operate several domains on the same topic and that these domains appear for the same queries in the result lists. Research limitations/implications The authors demonstrate the feasibility of this approach and draw conclusions for further investigations from the empirical study. However, the study is a limited use case based on a limited number of search queries. Originality/value The proposed method allows large-scale analysis of the composition of the top results from commercial search engines. It allows using valid empirical data to determine what users actually see on the search engine result pages.
    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 71(2019) no.3, S.310-324
    Type
    a
  11. Lewandowski, D.: ¬Die Macht der Suchmaschinen und ihr Einfluss auf unsere Entscheidungen (2014) 0.01
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    Date
    22. 9.2014 18:54:11
    Source
    Information - Wissenschaft und Praxis. 65(2014) H.4/5, S.231-238
    Type
    a
  12. Sundin, O.; Lewandowski, D.; Haider, J.: Whose relevance? : Web search engines as multisided relevance machines (2022) 0.00
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    Abstract
    This opinion piece takes Google's response to the so-called COVID-19 infodemic, as a starting point to argue for the need to consider societal relevance as a complement to other types of relevance. The authors maintain that if information science wants to be a discipline at the forefront of research on relevance, search engines, and their use, then the information science research community needs to address itself to the challenges and conditions that commercial search engines create in. The article concludes with a tentative list of related research topics.
    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.5, S.637-642
    Type
    a
  13. Lewandowski, D.; Kerkmann, F.; Rümmele, S.; Sünkler, S.: ¬An empirical investigation on search engine ad disclosure (2018) 0.00
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    Abstract
    This representative study of German search engine users (N?=?1,000) focuses on the ability of users to distinguish between organic results and advertisements on Google results pages. We combine questions about Google's business with task-based studies in which users were asked to distinguish between ads and organic results in screenshots of results pages. We find that only a small percentage of users can reliably distinguish between ads and organic results, and that user knowledge of Google's business model is very limited. We conclude that ads are insufficiently labelled as such, and that many users may click on ads assuming that they are selecting organic results.
    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.3, S.420-437
    Type
    a
  14. Lewandowski, D.; Drechsler, J.; Mach, S. von: Deriving query intents from web search engine queries (2012) 0.00
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    Abstract
    The purpose of this article is to test the reliability of query intents derived from queries, either by the user who entered the query or by another juror. We report the findings of three studies. First, we conducted a large-scale classification study (~50,000 queries) using a crowdsourcing approach. Next, we used clickthrough data from a search engine log and validated the judgments given by the jurors from the crowdsourcing study. Finally, we conducted an online survey on a commercial search engine's portal. Because we used the same queries for all three studies, we also were able to compare the results and the effectiveness of the different approaches. We found that neither the crowdsourcing approach, using jurors who classified queries originating from other users, nor the questionnaire approach, using searchers who were asked about their own query that they just entered into a Web search engine, led to satisfying results. This leads us to conclude that there was little understanding of the classification tasks, even though both groups of jurors were given detailed instructions. Although we used manual classification, our research also has important implications for automatic classification. We must question the success of approaches using automatic classification and comparing its performance to a baseline from human jurors.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.9, S.1773-1788
    Type
    a
  15. Lewandowski, D.: Desktop-Suche, Shortcuts, SMS (2004) 0.00
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    Source
    Password. 2004, H.11, S.40-41
    Type
    a
  16. Lewandowski, D.: Neue Themen der Informationswissenschaft sind nicht zu erkennen (2004) 0.00
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    Source
    Password. 2004, H.12, S.8-10
    Type
    a
  17. Lewandowski, D.: Spezialsuche für wissenschaftliche Informationen (2004) 0.00
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    Source
    Password. 2004, H.12, S.24
    Type
    a
  18. Lewandowski, D.: Start der eigenen Suchmaschine als Beta-Version (2004) 0.00
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    Source
    Password. 2004, H.12, S.25
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    a
  19. Lewandowski, D.: Freiwillige Selbstkontrolle, Stärkung "alternativer Suchmaschinen" : Suchmaschinen und Politik (2005) 0.00
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    Source
    Password. 2005, H.4, S.19
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    a
  20. Lewandowski, D.: Neue Suchmaschinen, neue Datenbestände, Desktop-Suche, Shortcuts (2005) 0.00
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    Source
    Password. 2005, H.1, S.33
    Type
    a