Document (#43351)

Author

Ren, J.
Dong, H.
Padmanabhan, B.
Nickerson, J.V.

Title

How does social media sentiment impact mass media sentiment? : a study of news in the financial markets

Source

Journal of the Association for Information Science and Technology. 72(2021) no.9, S.1183-1197

Year

2021

Abstract

Mass media sentiment of financial news significantly influences investment decisions of investors. Hence, studying how this sentiment emerges is important. In years past, this was straightforward, often dictated by journalists who cover financial news, but this has become more complex now. In this paper, we focus on how social media sentiment affects mass media sentiment. Using data from Sina Weibo and Sina Finance (around 60 million weibos and 6.2 million news articles), we show that social media does influence mass media sentiment emergence for financial news. The sentiment consistency between social media reaction and prior news articles amplifies the persistence of mass media sentiment over time. By contrast, we found limited evidence of social media reducing the persistence of mass media sentiment over time. The results have significant implications for understanding how 2 types of media, treated separately in the literature, may be connected.

Content

Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24477.

Similar documents (author)

1. Nickerson, G.: ¬The Internet Gopher (1992) 2.18

   2.1794553 = sum of:
     2.1794553 = product of:
       4.3589106 = sum of:
         4.3589106 = weight(author_txt:nickerson in 4159) [ClassicSimilarity], result of:
           4.3589106 = score(doc=4159,freq=1.0), product of:
             0.7423922 = queryWeight, product of:
               1.0526657 = boost
               9.394302 = idf(docFreq=9, maxDocs=44218)
               0.075072065 = queryNorm
             5.871439 = fieldWeight in 4159, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               9.394302 = idf(docFreq=9, maxDocs=44218)
               0.625 = fieldNorm(doc=4159)
       0.5 = coord(1/2)
   

2. Nickerson, G.: Getting to know Wide Area Information Servers (1992) 2.18

   2.1794553 = sum of:
     2.1794553 = product of:
       4.3589106 = sum of:
         4.3589106 = weight(author_txt:nickerson in 4165) [ClassicSimilarity], result of:
           4.3589106 = score(doc=4165,freq=1.0), product of:
             0.7423922 = queryWeight, product of:
               1.0526657 = boost
               9.394302 = idf(docFreq=9, maxDocs=44218)
               0.075072065 = queryNorm
             5.871439 = fieldWeight in 4165, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               9.394302 = idf(docFreq=9, maxDocs=44218)
               0.625 = fieldNorm(doc=4165)
       0.5 = coord(1/2)
   

3. Nickerson, G.: World Wide Web : Hypertext from CERN (1992) 2.18

   2.1794553 = sum of:
     2.1794553 = product of:
       4.3589106 = sum of:
         4.3589106 = weight(author_txt:nickerson in 4535) [ClassicSimilarity], result of:
           4.3589106 = score(doc=4535,freq=1.0), product of:
             0.7423922 = queryWeight, product of:
               1.0526657 = boost
               9.394302 = idf(docFreq=9, maxDocs=44218)
               0.075072065 = queryNorm
             5.871439 = fieldWeight in 4535, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               9.394302 = idf(docFreq=9, maxDocs=44218)
               0.625 = fieldNorm(doc=4535)
       0.5 = coord(1/2)
   

4. Nickerson, G.: Connecting to the Internet (1993) 2.18

   2.1794553 = sum of:
     2.1794553 = product of:
       4.3589106 = sum of:
         4.3589106 = weight(author_txt:nickerson in 5081) [ClassicSimilarity], result of:
           4.3589106 = score(doc=5081,freq=1.0), product of:
             0.7423922 = queryWeight, product of:
               1.0526657 = boost
               9.394302 = idf(docFreq=9, maxDocs=44218)
               0.075072065 = queryNorm
             5.871439 = fieldWeight in 5081, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               9.394302 = idf(docFreq=9, maxDocs=44218)
               0.625 = fieldNorm(doc=5081)
       0.5 = coord(1/2)
   

5. Nickerson, G.: Networked resources (1991) 2.18

   2.1794553 = sum of:
     2.1794553 = product of:
       4.3589106 = sum of:
         4.3589106 = weight(author_txt:nickerson in 5874) [ClassicSimilarity], result of:
           4.3589106 = score(doc=5874,freq=1.0), product of:
             0.7423922 = queryWeight, product of:
               1.0526657 = boost
               9.394302 = idf(docFreq=9, maxDocs=44218)
               0.075072065 = queryNorm
             5.871439 = fieldWeight in 5874, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               9.394302 = idf(docFreq=9, maxDocs=44218)
               0.625 = fieldNorm(doc=5874)
       0.5 = coord(1/2)
   

Similar documents (content)

1. Sinha, A.; Kedas, S.; Kumar, R.; Malo, P.: SEntFiN 1.0 : Entity-aware sentiment analysis for financial news (2022) 0.29

   0.2865819 = sum of:
     0.2865819 = product of:
       1.1940913 = sum of:
         0.022940358 = weight(abstract_txt:over in 652) [ClassicSimilarity], result of:
           0.022940358 = score(doc=652,freq=4.0), product of:
             0.043237958 = queryWeight, product of:
               1.1849008 = boost
               4.244485 = idf(docFreq=1723, maxDocs=44218)
               0.008597223 = queryNorm
             0.5305606 = fieldWeight in 652, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               4.244485 = idf(docFreq=1723, maxDocs=44218)
               0.0625 = fieldNorm(doc=652)
         0.004215088 = weight(abstract_txt:this in 652) [ClassicSimilarity], result of:
           0.004215088 = score(doc=652,freq=1.0), product of:
             0.027948992 = queryWeight, product of:
               1.3472477 = boost
               2.4130175 = idf(docFreq=10762, maxDocs=44218)
               0.008597223 = queryNorm
             0.1508136 = fieldWeight in 652, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               2.4130175 = idf(docFreq=10762, maxDocs=44218)
               0.0625 = fieldNorm(doc=652)
         0.13513842 = weight(abstract_txt:financial in 652) [ClassicSimilarity], result of:
           0.13513842 = score(doc=652,freq=2.0), product of:
             0.22387432 = queryWeight, product of:
               3.8129976 = boost
               6.829353 = idf(docFreq=129, maxDocs=44218)
               0.008597223 = queryNorm
             0.6036352 = fieldWeight in 652, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               6.829353 = idf(docFreq=129, maxDocs=44218)
               0.0625 = fieldNorm(doc=652)
         0.19026104 = weight(abstract_txt:news in 652) [ClassicSimilarity], result of:
           0.19026104 = score(doc=652,freq=4.0), product of:
             0.2555085 = queryWeight, product of:
               4.988991 = boost
               5.957094 = idf(docFreq=310, maxDocs=44218)
               0.008597223 = queryNorm
             0.7446368 = fieldWeight in 652, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               5.957094 = idf(docFreq=310, maxDocs=44218)
               0.0625 = fieldNorm(doc=652)
         0.11870267 = weight(abstract_txt:media in 652) [ClassicSimilarity], result of:
           0.11870267 = score(doc=652,freq=1.0), product of:
             0.3731148 = queryWeight, product of:
               8.526018 = boost
               5.090237 = idf(docFreq=739, maxDocs=44218)
               0.008597223 = queryNorm
             0.31813982 = fieldWeight in 652, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.090237 = idf(docFreq=739, maxDocs=44218)
               0.0625 = fieldNorm(doc=652)
         0.7228337 = weight(abstract_txt:sentiment in 652) [ClassicSimilarity], result of:
           0.7228337 = score(doc=652,freq=5.0), product of:
             0.6847163 = queryWeight, product of:
               10.543619 = boost
               7.5537524 = idf(docFreq=62, maxDocs=44218)
               0.008597223 = queryNorm
             1.055669 = fieldWeight in 652, product of:
               2.236068 = tf(freq=5.0), with freq of:
                 5.0 = termFreq=5.0
               7.5537524 = idf(docFreq=62, maxDocs=44218)
               0.0625 = fieldNorm(doc=652)
       0.24 = coord(6/25)
   

2. Scharl, A.; Hubmann-Haidvogel, A.H.; Jones, A.; Fischl, D.; Kamolov, R.; Weichselbraun, A.; Rafelsberger, W.: Analyzing the public discourse on works of fiction : detection and visualization of emotion in online coverage about HBO's Game of Thrones (2016) 0.27

   0.26565492 = sum of:
     0.26565492 = product of:
       0.94876754 = sum of:
         0.05113583 = weight(abstract_txt:journalists in 842) [ClassicSimilarity], result of:
           0.05113583 = score(doc=842,freq=1.0), product of:
             0.08010973 = queryWeight, product of:
               1.140452 = boost
               8.1705265 = idf(docFreq=33, maxDocs=44218)
               0.008597223 = queryNorm
             0.63832235 = fieldWeight in 842, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               8.1705265 = idf(docFreq=33, maxDocs=44218)
               0.078125 = fieldNorm(doc=842)
         0.0133852195 = weight(abstract_txt:time in 842) [ClassicSimilarity], result of:
           0.0133852195 = score(doc=842,freq=1.0), product of:
             0.041301142 = queryWeight, product of:
               1.1580583 = boost
               4.148331 = idf(docFreq=1897, maxDocs=44218)
               0.008597223 = queryNorm
             0.32408836 = fieldWeight in 842, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.148331 = idf(docFreq=1897, maxDocs=44218)
               0.078125 = fieldNorm(doc=842)
         0.0052688597 = weight(abstract_txt:this in 842) [ClassicSimilarity], result of:
           0.0052688597 = score(doc=842,freq=1.0), product of:
             0.027948992 = queryWeight, product of:
               1.3472477 = boost
               2.4130175 = idf(docFreq=10762, maxDocs=44218)
               0.008597223 = queryNorm
             0.18851699 = fieldWeight in 842, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               2.4130175 = idf(docFreq=10762, maxDocs=44218)
               0.078125 = fieldNorm(doc=842)
         0.049733892 = weight(abstract_txt:social in 842) [ClassicSimilarity], result of:
           0.049733892 = score(doc=842,freq=2.0), product of:
             0.106729224 = queryWeight, product of:
               2.9434798 = boost
               4.2175875 = idf(docFreq=1770, maxDocs=44218)
               0.008597223 = queryNorm
             0.46598196 = fieldWeight in 842, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               4.2175875 = idf(docFreq=1770, maxDocs=44218)
               0.078125 = fieldNorm(doc=842)
         0.16816857 = weight(abstract_txt:news in 842) [ClassicSimilarity], result of:
           0.16816857 = score(doc=842,freq=2.0), product of:
             0.2555085 = queryWeight, product of:
               4.988991 = boost
               5.957094 = idf(docFreq=310, maxDocs=44218)
               0.008597223 = queryNorm
             0.65817213 = fieldWeight in 842, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               5.957094 = idf(docFreq=310, maxDocs=44218)
               0.078125 = fieldNorm(doc=842)
         0.25699884 = weight(abstract_txt:media in 842) [ClassicSimilarity], result of:
           0.25699884 = score(doc=842,freq=3.0), product of:
             0.3731148 = queryWeight, product of:
               8.526018 = boost
               5.090237 = idf(docFreq=739, maxDocs=44218)
               0.008597223 = queryNorm
             0.68879294 = fieldWeight in 842, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               5.090237 = idf(docFreq=739, maxDocs=44218)
               0.078125 = fieldNorm(doc=842)
         0.40407634 = weight(abstract_txt:sentiment in 842) [ClassicSimilarity], result of:
           0.40407634 = score(doc=842,freq=1.0), product of:
             0.6847163 = queryWeight, product of:
               10.543619 = boost
               7.5537524 = idf(docFreq=62, maxDocs=44218)
               0.008597223 = queryNorm
             0.5901369 = fieldWeight in 842, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               7.5537524 = idf(docFreq=62, maxDocs=44218)
               0.078125 = fieldNorm(doc=842)
       0.28 = coord(7/25)
   

3. Paltoglou, G.: Sentiment-based event detection in Twitter (2016) 0.26

   0.2578296 = sum of:
     0.2578296 = product of:
       0.92082006 = sum of:
         0.010708176 = weight(abstract_txt:time in 3010) [ClassicSimilarity], result of:
           0.010708176 = score(doc=3010,freq=1.0), product of:
             0.041301142 = queryWeight, product of:
               1.1580583 = boost
               4.148331 = idf(docFreq=1897, maxDocs=44218)
               0.008597223 = queryNorm
             0.2592707 = fieldWeight in 3010, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.148331 = idf(docFreq=1897, maxDocs=44218)
               0.0625 = fieldNorm(doc=3010)
         0.011470179 = weight(abstract_txt:over in 3010) [ClassicSimilarity], result of:
           0.011470179 = score(doc=3010,freq=1.0), product of:
             0.043237958 = queryWeight, product of:
               1.1849008 = boost
               4.244485 = idf(docFreq=1723, maxDocs=44218)
               0.008597223 = queryNorm
             0.2652803 = fieldWeight in 3010, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.244485 = idf(docFreq=1723, maxDocs=44218)
               0.0625 = fieldNorm(doc=3010)
         0.008430176 = weight(abstract_txt:this in 3010) [ClassicSimilarity], result of:
           0.008430176 = score(doc=3010,freq=4.0), product of:
             0.027948992 = queryWeight, product of:
               1.3472477 = boost
               2.4130175 = idf(docFreq=10762, maxDocs=44218)
               0.008597223 = queryNorm
             0.3016272 = fieldWeight in 3010, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               2.4130175 = idf(docFreq=10762, maxDocs=44218)
               0.0625 = fieldNorm(doc=3010)
         0.03603133 = weight(abstract_txt:million in 3010) [ClassicSimilarity], result of:
           0.03603133 = score(doc=3010,freq=1.0), product of:
             0.09274103 = queryWeight, product of:
               1.7353431 = boost
               6.2162485 = idf(docFreq=239, maxDocs=44218)
               0.008597223 = queryNorm
             0.38851553 = fieldWeight in 3010, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.2162485 = idf(docFreq=239, maxDocs=44218)
               0.0625 = fieldNorm(doc=3010)
         0.039787114 = weight(abstract_txt:social in 3010) [ClassicSimilarity], result of:
           0.039787114 = score(doc=3010,freq=2.0), product of:
             0.106729224 = queryWeight, product of:
               2.9434798 = boost
               4.2175875 = idf(docFreq=1770, maxDocs=44218)
               0.008597223 = queryNorm
             0.37278557 = fieldWeight in 3010, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               4.2175875 = idf(docFreq=1770, maxDocs=44218)
               0.0625 = fieldNorm(doc=3010)
         0.16787092 = weight(abstract_txt:media in 3010) [ClassicSimilarity], result of:
           0.16787092 = score(doc=3010,freq=2.0), product of:
             0.3731148 = queryWeight, product of:
               8.526018 = boost
               5.090237 = idf(docFreq=739, maxDocs=44218)
               0.008597223 = queryNorm
             0.44991764 = fieldWeight in 3010, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               5.090237 = idf(docFreq=739, maxDocs=44218)
               0.0625 = fieldNorm(doc=3010)
         0.64652216 = weight(abstract_txt:sentiment in 3010) [ClassicSimilarity], result of:
           0.64652216 = score(doc=3010,freq=4.0), product of:
             0.6847163 = queryWeight, product of:
               10.543619 = boost
               7.5537524 = idf(docFreq=62, maxDocs=44218)
               0.008597223 = queryNorm
             0.94421905 = fieldWeight in 3010, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               7.5537524 = idf(docFreq=62, maxDocs=44218)
               0.0625 = fieldNorm(doc=3010)
       0.28 = coord(7/25)
   

4. Li, D.; Wang, Y.; Madden, A.; Ding, Y.; Sun, G.G.; Zhang, N.; Zhou, E.: Analyzing stock market trends using social media user moods and social influence (2019) 0.22

   0.2223571 = sum of:
     0.2223571 = product of:
       0.61765856 = sum of:
         0.036534145 = weight(abstract_txt:markets in 5362) [ClassicSimilarity], result of:
           0.036534145 = score(doc=5362,freq=1.0), product of:
             0.074291825 = queryWeight, product of:
               1.0982593 = boost
               7.8682456 = idf(docFreq=45, maxDocs=44218)
               0.008597223 = queryNorm
             0.49176535 = fieldWeight in 5362, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               7.8682456 = idf(docFreq=45, maxDocs=44218)
               0.0625 = fieldNorm(doc=5362)
         0.057240028 = weight(abstract_txt:finance in 5362) [ClassicSimilarity], result of:
           0.057240028 = score(doc=5362,freq=2.0), product of:
             0.079542324 = queryWeight, product of:
               1.1364061 = boost
               8.14154 = idf(docFreq=34, maxDocs=44218)
               0.008597223 = queryNorm
             0.71961725 = fieldWeight in 5362, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               8.14154 = idf(docFreq=34, maxDocs=44218)
               0.0625 = fieldNorm(doc=5362)
         0.011470179 = weight(abstract_txt:over in 5362) [ClassicSimilarity], result of:
           0.011470179 = score(doc=5362,freq=1.0), product of:
             0.043237958 = queryWeight, product of:
               1.1849008 = boost
               4.244485 = idf(docFreq=1723, maxDocs=44218)
               0.008597223 = queryNorm
             0.2652803 = fieldWeight in 5362, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.244485 = idf(docFreq=1723, maxDocs=44218)
               0.0625 = fieldNorm(doc=5362)
         0.058630593 = weight(abstract_txt:investors in 5362) [ClassicSimilarity], result of:
           0.058630593 = score(doc=5362,freq=1.0), product of:
             0.101833634 = queryWeight, product of:
               1.2858195 = boost
               9.211981 = idf(docFreq=11, maxDocs=44218)
               0.008597223 = queryNorm
             0.5757488 = fieldWeight in 5362, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               9.211981 = idf(docFreq=11, maxDocs=44218)
               0.0625 = fieldNorm(doc=5362)
         0.06671822 = weight(abstract_txt:weibo in 5362) [ClassicSimilarity], result of:
           0.06671822 = score(doc=5362,freq=1.0), product of:
             0.11099533 = queryWeight, product of:
               1.3424149 = boost
               9.617446 = idf(docFreq=7, maxDocs=44218)
               0.008597223 = queryNorm
             0.6010904 = fieldWeight in 5362, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               9.617446 = idf(docFreq=7, maxDocs=44218)
               0.0625 = fieldNorm(doc=5362)
         0.0059610344 = weight(abstract_txt:this in 5362) [ClassicSimilarity], result of:
           0.0059610344 = score(doc=5362,freq=2.0), product of:
             0.027948992 = queryWeight, product of:
               1.3472477 = boost
               2.4130175 = idf(docFreq=10762, maxDocs=44218)
               0.008597223 = queryNorm
             0.21328263 = fieldWeight in 5362, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               2.4130175 = idf(docFreq=10762, maxDocs=44218)
               0.0625 = fieldNorm(doc=5362)
         0.048729066 = weight(abstract_txt:social in 5362) [ClassicSimilarity], result of:
           0.048729066 = score(doc=5362,freq=3.0), product of:
             0.106729224 = queryWeight, product of:
               2.9434798 = boost
               4.2175875 = idf(docFreq=1770, maxDocs=44218)
               0.008597223 = queryNorm
             0.45656723 = fieldWeight in 5362, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               4.2175875 = idf(docFreq=1770, maxDocs=44218)
               0.0625 = fieldNorm(doc=5362)
         0.21367261 = weight(abstract_txt:financial in 5362) [ClassicSimilarity], result of:
           0.21367261 = score(doc=5362,freq=5.0), product of:
             0.22387432 = queryWeight, product of:
               3.8129976 = boost
               6.829353 = idf(docFreq=129, maxDocs=44218)
               0.008597223 = queryNorm
             0.9544311 = fieldWeight in 5362, product of:
               2.236068 = tf(freq=5.0), with freq of:
                 5.0 = termFreq=5.0
               6.829353 = idf(docFreq=129, maxDocs=44218)
               0.0625 = fieldNorm(doc=5362)
         0.11870267 = weight(abstract_txt:media in 5362) [ClassicSimilarity], result of:
           0.11870267 = score(doc=5362,freq=1.0), product of:
             0.3731148 = queryWeight, product of:
               8.526018 = boost
               5.090237 = idf(docFreq=739, maxDocs=44218)
               0.008597223 = queryNorm
             0.31813982 = fieldWeight in 5362, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.090237 = idf(docFreq=739, maxDocs=44218)
               0.0625 = fieldNorm(doc=5362)
       0.36 = coord(9/25)
   

5. Chung, W.; Zeng, D.: Social-media-based public policy informatics : sentiment and network analyses of U.S. immigration and border security (2016) 0.22

   0.22058578 = sum of:
     0.22058578 = product of:
       1.1029289 = sum of:
         0.011470179 = weight(abstract_txt:over in 3969) [ClassicSimilarity], result of:
           0.011470179 = score(doc=3969,freq=1.0), product of:
             0.043237958 = queryWeight, product of:
               1.1849008 = boost
               4.244485 = idf(docFreq=1723, maxDocs=44218)
               0.008597223 = queryNorm
             0.2652803 = fieldWeight in 3969, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.244485 = idf(docFreq=1723, maxDocs=44218)
               0.0625 = fieldNorm(doc=3969)
         0.0059610344 = weight(abstract_txt:this in 3969) [ClassicSimilarity], result of:
           0.0059610344 = score(doc=3969,freq=2.0), product of:
             0.027948992 = queryWeight, product of:
               1.3472477 = boost
               2.4130175 = idf(docFreq=10762, maxDocs=44218)
               0.008597223 = queryNorm
             0.21328263 = fieldWeight in 3969, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               2.4130175 = idf(docFreq=10762, maxDocs=44218)
               0.0625 = fieldNorm(doc=3969)
         0.05626748 = weight(abstract_txt:social in 3969) [ClassicSimilarity], result of:
           0.05626748 = score(doc=3969,freq=4.0), product of:
             0.106729224 = queryWeight, product of:
               2.9434798 = boost
               4.2175875 = idf(docFreq=1770, maxDocs=44218)
               0.008597223 = queryNorm
             0.52719843 = fieldWeight in 3969, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               4.2175875 = idf(docFreq=1770, maxDocs=44218)
               0.0625 = fieldNorm(doc=3969)
         0.23740534 = weight(abstract_txt:media in 3969) [ClassicSimilarity], result of:
           0.23740534 = score(doc=3969,freq=4.0), product of:
             0.3731148 = queryWeight, product of:
               8.526018 = boost
               5.090237 = idf(docFreq=739, maxDocs=44218)
               0.008597223 = queryNorm
             0.63627964 = fieldWeight in 3969, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               5.090237 = idf(docFreq=739, maxDocs=44218)
               0.0625 = fieldNorm(doc=3969)
         0.79182476 = weight(abstract_txt:sentiment in 3969) [ClassicSimilarity], result of:
           0.79182476 = score(doc=3969,freq=6.0), product of:
             0.6847163 = queryWeight, product of:
               10.543619 = boost
               7.5537524 = idf(docFreq=62, maxDocs=44218)
               0.008597223 = queryNorm
             1.1564275 = fieldWeight in 3969, product of:
               2.4494898 = tf(freq=6.0), with freq of:
                 6.0 = termFreq=6.0
               7.5537524 = idf(docFreq=62, maxDocs=44218)
               0.0625 = fieldNorm(doc=3969)
       0.2 = coord(5/25)