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Thelwall, M.: Directing students to new information types : a new role for Google in literature searches? (2005)
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Thelwall, M.; Vaughan, L.: New versions of PageRank employing alternative Web document models (2004)
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- 20. 1.2007 18:32:28
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Vaughan, L.; Thelwall, M.: Search engine coverage bias : evidence and possible causes (2004)
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Thelwall, M.: Web impact factors and search engine coverage (2000)
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Thelwall, M.; Stuart, D.: Web crawling ethics revisited : cost, privacy, and denial of service (2006)
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Thelwall, M.: Can Google's PageRank be used to find the most important academic Web pages? (2003)
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Thelwall, M.: Extracting accurate and complete results from search engines : case study windows live (2008)
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Thelwall, M.: Assessing web search engines : a webometric approach (2011)
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Thelwall, M.; Thelwall, S.: ¬A thematic analysis of highly retweeted early COVID-19 tweets : consensus, information, dissent and lockdown life (2020)
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- Abstract
- Purpose Public attitudes towards COVID-19 and social distancing are critical in reducing its spread. It is therefore important to understand public reactions and information dissemination in all major forms, including on social media. This article investigates important issues reflected on Twitter in the early stages of the public reaction to COVID-19. Design/methodology/approach A thematic analysis of the most retweeted English-language tweets mentioning COVID-19 during March 10-29, 2020. Findings The main themes identified for the 87 qualifying tweets accounting for 14 million retweets were: lockdown life; attitude towards social restrictions; politics; safety messages; people with COVID-19; support for key workers; work; and COVID-19 facts/news. Research limitations/implications Twitter played many positive roles, mainly through unofficial tweets. Users shared social distancing information, helped build support for social distancing, criticised government responses, expressed support for key workers and helped each other cope with social isolation. A few popular tweets not supporting social distancing show that government messages sometimes failed. Practical implications Public health campaigns in future may consider encouraging grass roots social web activity to support campaign goals. At a methodological level, analysing retweet counts emphasised politics and ignored practical implementation issues. Originality/value This is the first qualitative analysis of general COVID-19-related retweeting.
- Date
- 20. 1.2015 18:30:22
12. 3.2021 18:41:28
-
Thelwall, M.; Binns, R.; Harries, G.; Page-Kennedy, T.; Price, L.; Wilkinson, D.: Custom interfaces for advanced queries in search engines (2001)
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Thelwall, M.: Quantitative comparisons of search engine results (2008)
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Didegah, F.; Thelwall, M.: Co-saved, co-tweeted, and co-cited networks (2018)
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- Date
- 28. 7.2018 10:00:22
-
Thelwall, M.; Buckley, K.; Paltoglou, G.; Cai, D.; Kappas, A.: Sentiment strength detection in short informal text (2010)
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- Date
- 22. 1.2011 14:29:23
-
Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006)
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- Date
- 4.12.2006 12:12:22
-
Levitt, J.M.; Thelwall, M.: Citation levels and collaboration within library and information science (2009)
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- Abstract
- Collaboration is a major research policy objective, but does it deliver higher quality research? This study uses citation analysis to examine the Web of Science (WoS) Information Science & Library Science subject category (IS&LS) to ascertain whether, in general, more highly cited articles are more highly collaborative than other articles. It consists of two investigations. The first investigation is a longitudinal comparison of the degree and proportion of collaboration in five strata of citation; it found that collaboration in the highest four citation strata (all in the most highly cited 22%) increased in unison over time, whereas collaboration in the lowest citation strata (un-cited articles) remained low and stable. Given that over 40% of the articles were un-cited, it seems important to take into account the differences found between un-cited articles and relatively highly cited articles when investigating collaboration in IS&LS. The second investigation compares collaboration for 35 influential information scientists; it found that their more highly cited articles on average were not more highly collaborative than their less highly cited articles. In summary, although collaborative research is conducive to high citation in general, collaboration has apparently not tended to be essential to the success of current and former elite information scientists.
- Date
- 22. 3.2009 12:43:51
-
Thelwall, M.; Buckley, K.: Topic-based sentiment analysis for the social web : the role of mood and issue-related words (2013)
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- Date
- 28. 7.2013 13:04:26
-
Thelwall, M.; Kousha, K.: ResearchGate: Disseminating, communicating, and measuring scholarship? (2015)
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- Date
- 26. 4.2015 19:29:49
-
Maflahi, N.; Thelwall, M.: When are readership counts as useful as citation counts? : Scopus versus Mendeley for LIS journals (2016)
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- Date
- 27.12.2015 11:29:37
-
Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment in Twitter events (2011)
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- Date
- 22. 1.2011 14:27:06
-
Thelwall, M.; Maflahi, N.: Guideline references and academic citations as evidence of the clinical value of health research (2016)
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- Date
- 19. 3.2016 12:22:00
