-
Zhang, L.; Lu, W.; Yang, J.: LAGOS-AND : a large gold standard dataset for scholarly author name disambiguation (2023)
0.02
0.019670038 = product of:
0.045896754 = sum of:
0.014187992 = product of:
0.028375983 = sum of:
0.028375983 = weight(_text_:w in 883) [ClassicSimilarity], result of:
0.028375983 = score(doc=883,freq=2.0), product of:
0.13479044 = queryWeight, product of:
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.035370585 = queryNorm
0.21051927 = fieldWeight in 883, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.0390625 = fieldNorm(doc=883)
0.5 = coord(1/2)
0.019728197 = weight(_text_:j in 883) [ClassicSimilarity], result of:
0.019728197 = score(doc=883,freq=2.0), product of:
0.11238991 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.035370585 = queryNorm
0.17553353 = fieldWeight in 883, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.0390625 = fieldNorm(doc=883)
0.011980565 = product of:
0.02396113 = sum of:
0.02396113 = weight(_text_:22 in 883) [ClassicSimilarity], result of:
0.02396113 = score(doc=883,freq=2.0), product of:
0.12386176 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.035370585 = queryNorm
0.19345059 = fieldWeight in 883, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=883)
0.5 = coord(1/2)
0.42857143 = coord(3/7)
- Date
- 22. 1.2023 18:40:36
-
Jiang, Y.; Meng, R.; Huang, Y.; Lu, W.; Liu, J.: Generating keyphrases for readers : a controllable keyphrase generation framework (2023)
0.02
0.019670038 = product of:
0.045896754 = sum of:
0.014187992 = product of:
0.028375983 = sum of:
0.028375983 = weight(_text_:w in 1012) [ClassicSimilarity], result of:
0.028375983 = score(doc=1012,freq=2.0), product of:
0.13479044 = queryWeight, product of:
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.035370585 = queryNorm
0.21051927 = fieldWeight in 1012, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.0390625 = fieldNorm(doc=1012)
0.5 = coord(1/2)
0.019728197 = weight(_text_:j in 1012) [ClassicSimilarity], result of:
0.019728197 = score(doc=1012,freq=2.0), product of:
0.11238991 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.035370585 = queryNorm
0.17553353 = fieldWeight in 1012, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.0390625 = fieldNorm(doc=1012)
0.011980565 = product of:
0.02396113 = sum of:
0.02396113 = weight(_text_:22 in 1012) [ClassicSimilarity], result of:
0.02396113 = score(doc=1012,freq=2.0), product of:
0.12386176 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.035370585 = queryNorm
0.19345059 = fieldWeight in 1012, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=1012)
0.5 = coord(1/2)
0.42857143 = coord(3/7)
- Date
- 22. 6.2023 14:55:20
-
Wang, J.; Halffman, W.; Zhang, Y.H.: Sorting out journals : the proliferation of journal lists in China (2023)
0.02
0.019670038 = product of:
0.045896754 = sum of:
0.014187992 = product of:
0.028375983 = sum of:
0.028375983 = weight(_text_:w in 1055) [ClassicSimilarity], result of:
0.028375983 = score(doc=1055,freq=2.0), product of:
0.13479044 = queryWeight, product of:
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.035370585 = queryNorm
0.21051927 = fieldWeight in 1055, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.0390625 = fieldNorm(doc=1055)
0.5 = coord(1/2)
0.019728197 = weight(_text_:j in 1055) [ClassicSimilarity], result of:
0.019728197 = score(doc=1055,freq=2.0), product of:
0.11238991 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.035370585 = queryNorm
0.17553353 = fieldWeight in 1055, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.0390625 = fieldNorm(doc=1055)
0.011980565 = product of:
0.02396113 = sum of:
0.02396113 = weight(_text_:22 in 1055) [ClassicSimilarity], result of:
0.02396113 = score(doc=1055,freq=2.0), product of:
0.12386176 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.035370585 = queryNorm
0.19345059 = fieldWeight in 1055, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=1055)
0.5 = coord(1/2)
0.42857143 = coord(3/7)
- Date
- 22. 9.2023 16:39:23
-
Babcock, K.; Lee, S.; Rajakumar, J.; Wagner, A.: Providing access to digital collections (2020)
0.02
0.016004393 = product of:
0.056015372 = sum of:
0.036287174 = weight(_text_:u in 5855) [ClassicSimilarity], result of:
0.036287174 = score(doc=5855,freq=6.0), product of:
0.11581901 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.035370585 = queryNorm
0.3133093 = fieldWeight in 5855, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.0390625 = fieldNorm(doc=5855)
0.019728197 = weight(_text_:j in 5855) [ClassicSimilarity], result of:
0.019728197 = score(doc=5855,freq=2.0), product of:
0.11238991 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.035370585 = queryNorm
0.17553353 = fieldWeight in 5855, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.0390625 = fieldNorm(doc=5855)
0.2857143 = coord(2/7)
- Abstract
- The University of Toronto Libraries is currently reviewing technology to support its Collections U of T service. Collections U of T provides search and browse access to 375 digital collections (and over 203,000 digital objects) at the University of Toronto Libraries. Digital objects typically include special collections material from the university as well as faculty digital collections, all with unique metadata requirements. The service is currently supported by IIIF-enabled Islandora, with one Fedora back end and multiple Drupal sites per parent collection (see attached image). Like many institutions making use of Islandora, UTL is now confronted with Drupal 7 end of life and has begun to investigate a migration path forward. This article will summarise the Collections U of T functional requirements and lessons learned from our current technology stack. It will go on to outline our research to date for alternate solutions. The article will review both emerging micro-service solutions, as well as out-of-the-box platforms, to provide an overview of the digital collection technology landscape in 2019. Note that our research is focused on reviewing technology solutions for providing access to digital collections, as preservation services are offered through other services at the University of Toronto Libraries.
-
Kim, L.; Portenoy, J.H.; West, J.D.; Stovel, K.W.: Scientific journals still matter in the era of academic search engines and preprint archives (2020)
0.02
0.015312173 = product of:
0.10718521 = sum of:
0.10718521 = weight(_text_:k.w in 5961) [ClassicSimilarity], result of:
0.10718521 = score(doc=5961,freq=2.0), product of:
0.2619697 = queryWeight, product of:
7.406428 = idf(docFreq=72, maxDocs=44218)
0.035370585 = queryNorm
0.4091512 = fieldWeight in 5961, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
7.406428 = idf(docFreq=72, maxDocs=44218)
0.0390625 = fieldNorm(doc=5961)
0.14285715 = coord(1/7)
-
Deng, Z.; Deng, Z.; Fan, G.; Wang, B.; Fan, W.(P.); Liu, S.: More is better? : understanding the effects of online interactions on patients health anxiety (2023)
0.01
0.014421476 = product of:
0.050475165 = sum of:
0.014187992 = product of:
0.028375983 = sum of:
0.028375983 = weight(_text_:w in 1082) [ClassicSimilarity], result of:
0.028375983 = score(doc=1082,freq=2.0), product of:
0.13479044 = queryWeight, product of:
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.035370585 = queryNorm
0.21051927 = fieldWeight in 1082, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.0390625 = fieldNorm(doc=1082)
0.5 = coord(1/2)
0.036287174 = weight(_text_:u in 1082) [ClassicSimilarity], result of:
0.036287174 = score(doc=1082,freq=6.0), product of:
0.11581901 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.035370585 = queryNorm
0.3133093 = fieldWeight in 1082, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.0390625 = fieldNorm(doc=1082)
0.2857143 = coord(2/7)
- Abstract
- Online health platforms play an important role in chronic disease management. Patients participate in online health platforms to receive and provide health-related support from each other. However, there remains a debate about whether the influence of social interaction on patient health anxiety is linearly positive. Based on uncertainty, information overload, and the theory of motivational information management, we develop and test a model considering a potential curvilinear relationship between social interaction and health anxiety, as well as a moderating effect of health literacy. We collect patient interaction data from an online health platform based on chronic disease management in China and use text mining and econometrics to test our hypotheses. Specifically, we find an inverted U-shaped relationship between informational provision and health anxiety. Our results also show that information receipt and emotion provision have U-shaped relationships with health anxiety. Interestingly, health literacy can effectively alleviate the U-shaped relationship between information receipt and health anxiety. These findings not only provide new insights into the literature on online patient interactions but also provide decision support for patients and platform managers.
-
Liang, Z.; Mao, J.; Li, G.: Bias against scientific novelty : a prepublication perspective (2023)
0.01
0.013946951 = product of:
0.048814327 = sum of:
0.025140489 = weight(_text_:u in 845) [ClassicSimilarity], result of:
0.025140489 = score(doc=845,freq=2.0), product of:
0.11581901 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.035370585 = queryNorm
0.21706703 = fieldWeight in 845, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.046875 = fieldNorm(doc=845)
0.023673838 = weight(_text_:j in 845) [ClassicSimilarity], result of:
0.023673838 = score(doc=845,freq=2.0), product of:
0.11238991 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.035370585 = queryNorm
0.21064025 = fieldWeight in 845, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.046875 = fieldNorm(doc=845)
0.2857143 = coord(2/7)
- Abstract
- Novel ideas often experience resistance from incumbent forces. While evidence of the bias against novelty has been widely identified in science, there is still a lack of large-scale quantitative work to study this problem occurring in the prepublication process of manuscripts. This paper examines the association between manuscript novelty and handling time of publication based on 778,345 articles in 1,159 journals indexed by PubMed. Measuring the novelty as the extent to which manuscripts disrupt existing knowledge, we found systematic evidence that higher novelty is associated with longer handling time. Matching and fixed-effect models were adopted to confirm the statistical significance of this pattern. Moreover, submissions from prestigious authors and institutions have the advantage of shorter handling time, but this advantage is diminishing as manuscript novelty increases. In addition, we found longer handling time is negatively related to the impact of manuscripts, while the relationships between novelty and 3- and 5-year citations are U-shape. This study expands the existing knowledge of the novelty bias by examining its existence in the prepublication process of manuscripts.
-
Liu, M.; Bu, Y.; Chen, C.; Xu, J.; Li, D.; Leng, Y.; Freeman, R.B.; Meyer, E.T.; Yoon, W.; Sung, M.; Jeong, M.; Lee, J.; Kang, J.; Min, C.; Zhai, Y.; Song, M.; Ding, Y.: Pandemics are catalysts of scientific novelty : evidence from COVID-19 (2022)
0.01
0.013816638 = product of:
0.04835823 = sum of:
0.014187992 = product of:
0.028375983 = sum of:
0.028375983 = weight(_text_:w in 633) [ClassicSimilarity], result of:
0.028375983 = score(doc=633,freq=2.0), product of:
0.13479044 = queryWeight, product of:
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.035370585 = queryNorm
0.21051927 = fieldWeight in 633, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.0390625 = fieldNorm(doc=633)
0.5 = coord(1/2)
0.03417024 = weight(_text_:j in 633) [ClassicSimilarity], result of:
0.03417024 = score(doc=633,freq=6.0), product of:
0.11238991 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.035370585 = queryNorm
0.304033 = fieldWeight in 633, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.0390625 = fieldNorm(doc=633)
0.2857143 = coord(2/7)
-
Walsh, J.A.; Cobb, P.J.; Fremery, W. de; Golub, K.; Keah, H.; Kim, J.; Kiplang'at, J.; Liu, Y.-H.; Mahony, S.; Oh, S.G.; Sula, C.A.; Underwood, T.; Wang, X.: Digital humanities in the iSchool (2022)
0.01
0.012025108 = product of:
0.042087875 = sum of:
0.014187992 = product of:
0.028375983 = sum of:
0.028375983 = weight(_text_:w in 463) [ClassicSimilarity], result of:
0.028375983 = score(doc=463,freq=2.0), product of:
0.13479044 = queryWeight, product of:
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.035370585 = queryNorm
0.21051927 = fieldWeight in 463, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.0390625 = fieldNorm(doc=463)
0.5 = coord(1/2)
0.027899884 = weight(_text_:j in 463) [ClassicSimilarity], result of:
0.027899884 = score(doc=463,freq=4.0), product of:
0.11238991 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.035370585 = queryNorm
0.2482419 = fieldWeight in 463, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.0390625 = fieldNorm(doc=463)
0.2857143 = coord(2/7)
-
Huang, S.; Qian, J.; Huang, Y.; Lu, W.; Bu, Y.; Yang, J.; Cheng, Q.: Disclosing the relationship between citation structure and future impact of a publication (2022)
0.01
0.012025108 = product of:
0.042087875 = sum of:
0.014187992 = product of:
0.028375983 = sum of:
0.028375983 = weight(_text_:w in 621) [ClassicSimilarity], result of:
0.028375983 = score(doc=621,freq=2.0), product of:
0.13479044 = queryWeight, product of:
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.035370585 = queryNorm
0.21051927 = fieldWeight in 621, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.0390625 = fieldNorm(doc=621)
0.5 = coord(1/2)
0.027899884 = weight(_text_:j in 621) [ClassicSimilarity], result of:
0.027899884 = score(doc=621,freq=4.0), product of:
0.11238991 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.035370585 = queryNorm
0.2482419 = fieldWeight in 621, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.0390625 = fieldNorm(doc=621)
0.2857143 = coord(2/7)
-
Liu, J.; Zhou, Z.; Gao, M.; Tang, J.; Fan, W.: Aspect sentiment mining of short bullet screen comments from online TV series (2023)
0.01
0.012025108 = product of:
0.042087875 = sum of:
0.014187992 = product of:
0.028375983 = sum of:
0.028375983 = weight(_text_:w in 1018) [ClassicSimilarity], result of:
0.028375983 = score(doc=1018,freq=2.0), product of:
0.13479044 = queryWeight, product of:
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.035370585 = queryNorm
0.21051927 = fieldWeight in 1018, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.0390625 = fieldNorm(doc=1018)
0.5 = coord(1/2)
0.027899884 = weight(_text_:j in 1018) [ClassicSimilarity], result of:
0.027899884 = score(doc=1018,freq=4.0), product of:
0.11238991 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.035370585 = queryNorm
0.2482419 = fieldWeight in 1018, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.0390625 = fieldNorm(doc=1018)
0.2857143 = coord(2/7)
-
Du, Q.; Li, J.; Du, Y.; Wang, G.A.; Fan, W.: Predicting crowdfunding project success based on backers' language preferences (2021)
0.01
0.011628409 = product of:
0.04069943 = sum of:
0.01702559 = product of:
0.03405118 = sum of:
0.03405118 = weight(_text_:w in 415) [ClassicSimilarity], result of:
0.03405118 = score(doc=415,freq=2.0), product of:
0.13479044 = queryWeight, product of:
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.035370585 = queryNorm
0.2526231 = fieldWeight in 415, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.046875 = fieldNorm(doc=415)
0.5 = coord(1/2)
0.023673838 = weight(_text_:j in 415) [ClassicSimilarity], result of:
0.023673838 = score(doc=415,freq=2.0), product of:
0.11238991 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.035370585 = queryNorm
0.21064025 = fieldWeight in 415, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.046875 = fieldNorm(doc=415)
0.2857143 = coord(2/7)
-
Wang, X.; Zhang, M.; Fan, W.; Zhao, K.: Understanding the spread of COVID-19 misinformation on social media : the effects of topics and a political leader's nudge (2022)
0.01
0.011628409 = product of:
0.04069943 = sum of:
0.01702559 = product of:
0.03405118 = sum of:
0.03405118 = weight(_text_:w in 549) [ClassicSimilarity], result of:
0.03405118 = score(doc=549,freq=2.0), product of:
0.13479044 = queryWeight, product of:
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.035370585 = queryNorm
0.2526231 = fieldWeight in 549, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.046875 = fieldNorm(doc=549)
0.5 = coord(1/2)
0.023673838 = weight(_text_:j in 549) [ClassicSimilarity], result of:
0.023673838 = score(doc=549,freq=2.0), product of:
0.11238991 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.035370585 = queryNorm
0.21064025 = fieldWeight in 549, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.046875 = fieldNorm(doc=549)
0.2857143 = coord(2/7)
- Abstract
- The spread of misinformation on social media has become a major societal issue during recent years. In this work, we used the ongoing COVID-19 pandemic as a case study to systematically investigate factors associated with the spread of multi-topic misinformation related to one event on social media based on the heuristic-systematic model. Among factors related to systematic processing of information, we discovered that the topics of a misinformation story matter, with conspiracy theories being the most likely to be retweeted. As for factors related to heuristic processing of information, such as when citizens look up to their leaders during such a crisis, our results demonstrated that behaviors of a political leader, former US President Donald J. Trump, may have nudged people's sharing of COVID-19 misinformation. Outcomes of this study help social media platform and users better understand and prevent the spread of misinformation on social media.
-
Wu, Z.; Li, R.; Zhou, Z.; Guo, J.; Jiang, J.; Su, X.: ¬A user sensitive subject protection approach for book search service (2020)
0.01
0.011394414 = product of:
0.039880447 = sum of:
0.027899884 = weight(_text_:j in 5617) [ClassicSimilarity], result of:
0.027899884 = score(doc=5617,freq=4.0), product of:
0.11238991 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.035370585 = queryNorm
0.2482419 = fieldWeight in 5617, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.0390625 = fieldNorm(doc=5617)
0.011980565 = product of:
0.02396113 = sum of:
0.02396113 = weight(_text_:22 in 5617) [ClassicSimilarity], result of:
0.02396113 = score(doc=5617,freq=2.0), product of:
0.12386176 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.035370585 = queryNorm
0.19345059 = fieldWeight in 5617, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=5617)
0.5 = coord(1/2)
0.2857143 = coord(2/7)
- Date
- 6. 1.2020 17:22:25
-
Hartel, J.: ¬The red thread of information (2020)
0.01
0.011394414 = product of:
0.039880447 = sum of:
0.027899884 = weight(_text_:j in 5839) [ClassicSimilarity], result of:
0.027899884 = score(doc=5839,freq=4.0), product of:
0.11238991 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.035370585 = queryNorm
0.2482419 = fieldWeight in 5839, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.0390625 = fieldNorm(doc=5839)
0.011980565 = product of:
0.02396113 = sum of:
0.02396113 = weight(_text_:22 in 5839) [ClassicSimilarity], result of:
0.02396113 = score(doc=5839,freq=2.0), product of:
0.12386176 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.035370585 = queryNorm
0.19345059 = fieldWeight in 5839, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=5839)
0.5 = coord(1/2)
0.2857143 = coord(2/7)
- Abstract
- Purpose In The Invisible Substrate of Information Science, a landmark article about the discipline of information science, Marcia J. Bates wrote that ".we are always looking for the red thread of information in the social texture of people's lives" (1999a, p. 1048). To sharpen our understanding of information science and to elaborate Bates' idea, the work at hand answers the question: Just what does the red thread of information entail? Design/methodology/approach Through a close reading of Bates' oeuvre and by applying concepts from the reference literature of information science, nine composite entities that qualify as the red thread of information are identified, elaborated, and related to existing concepts in the information science literature. In the spirit of a scientist-poet (White, 1999), several playful metaphors related to the color red are employed. Findings Bates' red thread of information entails: terms, genres, literatures, classification systems, scholarly communication, information retrieval, information experience, information institutions, and information policy. This same constellation of phenomena can be found in resonant visions of information science, namely, domain analysis (Hjørland, 2002), ethnography of infrastructure (Star, 1999), and social epistemology (Shera, 1968). Research limitations/implications With the vital vermilion filament in clear view, newcomers can more easily engage the material, conceptual, and social machinery of information science, and specialists are reminded of what constitutes information science as a whole. Future researchers and scientist-poets may wish to supplement the nine composite entities with additional, emergent information phenomena. Originality/value Though the explication of information science that follows is relatively orthodox and time-bound, the paper offers an imaginative, accessible, yet technically precise way of understanding the field.
- Date
- 30. 4.2020 21:03:22
-
Kim, J.(im); Kim, J.(enna): Effect of forename string on author name disambiguation (2020)
0.01
0.011394414 = product of:
0.039880447 = sum of:
0.027899884 = weight(_text_:j in 5930) [ClassicSimilarity], result of:
0.027899884 = score(doc=5930,freq=4.0), product of:
0.11238991 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.035370585 = queryNorm
0.2482419 = fieldWeight in 5930, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.0390625 = fieldNorm(doc=5930)
0.011980565 = product of:
0.02396113 = sum of:
0.02396113 = weight(_text_:22 in 5930) [ClassicSimilarity], result of:
0.02396113 = score(doc=5930,freq=2.0), product of:
0.12386176 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.035370585 = queryNorm
0.19345059 = fieldWeight in 5930, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=5930)
0.5 = coord(1/2)
0.2857143 = coord(2/7)
- Date
- 11. 7.2020 13:22:58
-
Bullard, J.; Dierking, A.; Grundner, A.: Centring LGBT2QIA+ subjects in knowledge organization systems (2020)
0.01
0.010871577 = product of:
0.038050517 = sum of:
0.023673838 = weight(_text_:j in 5996) [ClassicSimilarity], result of:
0.023673838 = score(doc=5996,freq=2.0), product of:
0.11238991 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.035370585 = queryNorm
0.21064025 = fieldWeight in 5996, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.046875 = fieldNorm(doc=5996)
0.014376678 = product of:
0.028753355 = sum of:
0.028753355 = weight(_text_:22 in 5996) [ClassicSimilarity], result of:
0.028753355 = score(doc=5996,freq=2.0), product of:
0.12386176 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.035370585 = queryNorm
0.23214069 = fieldWeight in 5996, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=5996)
0.5 = coord(1/2)
0.2857143 = coord(2/7)
- Date
- 6.10.2020 21:22:33
-
Zheng, X.; Chen, J.; Yan, E.; Ni, C.: Gender and country biases in Wikipedia citations to scholarly publications (2023)
0.01
0.010871577 = product of:
0.038050517 = sum of:
0.023673838 = weight(_text_:j in 886) [ClassicSimilarity], result of:
0.023673838 = score(doc=886,freq=2.0), product of:
0.11238991 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.035370585 = queryNorm
0.21064025 = fieldWeight in 886, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.046875 = fieldNorm(doc=886)
0.014376678 = product of:
0.028753355 = sum of:
0.028753355 = weight(_text_:22 in 886) [ClassicSimilarity], result of:
0.028753355 = score(doc=886,freq=2.0), product of:
0.12386176 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.035370585 = queryNorm
0.23214069 = fieldWeight in 886, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=886)
0.5 = coord(1/2)
0.2857143 = coord(2/7)
- Date
- 22. 1.2023 18:53:32
-
Li, G.; Siddharth, L.; Luo, J.: Embedding knowledge graph of patent metadata to measure knowledge proximity (2023)
0.01
0.010871577 = product of:
0.038050517 = sum of:
0.023673838 = weight(_text_:j in 920) [ClassicSimilarity], result of:
0.023673838 = score(doc=920,freq=2.0), product of:
0.11238991 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.035370585 = queryNorm
0.21064025 = fieldWeight in 920, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.046875 = fieldNorm(doc=920)
0.014376678 = product of:
0.028753355 = sum of:
0.028753355 = weight(_text_:22 in 920) [ClassicSimilarity], result of:
0.028753355 = score(doc=920,freq=2.0), product of:
0.12386176 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.035370585 = queryNorm
0.23214069 = fieldWeight in 920, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=920)
0.5 = coord(1/2)
0.2857143 = coord(2/7)
- Date
- 22. 3.2023 12:06:55
-
Liu, Q.; Yang, Z.; Cai, X.; Du, Q.; Fan, W.: ¬The more, the better? : The effect of feedback and user's past successes on idea implementation in open innovation communities (2022)
0.01
0.010039543 = product of:
0.0351384 = sum of:
0.014187992 = product of:
0.028375983 = sum of:
0.028375983 = weight(_text_:w in 497) [ClassicSimilarity], result of:
0.028375983 = score(doc=497,freq=2.0), product of:
0.13479044 = queryWeight, product of:
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.035370585 = queryNorm
0.21051927 = fieldWeight in 497, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8108058 = idf(docFreq=2659, maxDocs=44218)
0.0390625 = fieldNorm(doc=497)
0.5 = coord(1/2)
0.020950409 = weight(_text_:u in 497) [ClassicSimilarity], result of:
0.020950409 = score(doc=497,freq=2.0), product of:
0.11581901 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.035370585 = queryNorm
0.1808892 = fieldWeight in 497, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.0390625 = fieldNorm(doc=497)
0.2857143 = coord(2/7)
- Abstract
- Establishing open innovation communities has evolved as an important product innovation and development strategy for companies. Yet, the success of such communities relies on the successful implementation of many user-submitted ideas. Although extant literature has examined the impact of user experience and idea characteristics on idea implementation, little is known from the information input perspective, for example, feedback. Based on the information overload theory and knowledge content framework, we propose that the amount and types of feedback content have different effects on the likelihood of subsequent idea implementation, and such effects depend on the level of users' success experience. We tested the research model using a panel logistic model with the data of MIUI Forum. The study results revealed that the amount of feedback has an inverted U-shaped effect on idea implementation, and such effect is moderated by a user's past success. Moreover, the type of feedback content (cost and benefit-related feedback and functionality-related feedback) positively affects idea implementation, and a user's past success positively moderated the above effects. Finally, we discuss the theoretical and practical implications, limitations of our research, and suggestions for future research.
