| Literature DB >> 35832906 |
Abstract
The economic and cultural effects of sports films have attracted close attention from academia as well as the industry. In this paper, two sub-studies were conducted to explore the empathy mechanism performance of the interest-related community in sports films. In Study 1, the film Lead was applied as an example and used network text analysis to analyze the discourse characteristics and structure of its interest-related community to grasp the practice regularities. More specifically, the results in Study 1 show that the theme feature, brand building, technological innovation, and spirit communication are the key factors that affect an individual's empathy for sports films. In Study 2, I conducted a survey to explore the empathy mechanism of sports films in the new age to provide a theoretical reference for the high-quality development of films. The above-mentioned four main factors have positive impacts on empathy: affective empathy and cognitive empathy.Entities:
Keywords: community discourse; cultural entertainment consumption; empathy communication; interest-related community; sports film
Year: 2022 PMID: 35832906 PMCID: PMC9272885 DOI: 10.3389/fpsyg.2022.897463
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1Technical path map.
High-frequency words of network texts of the film Lead.
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|---|---|---|---|
| 1 | Women's volleyball | 1,996,441 | Noun |
| 2 | Film | 1,989,448 | Noun |
| 3 | Champion | 1,861,627 | Verb |
| 4 | Box office | 1,158,261 | Noun |
| 5 | Actor | 1,150,306 | Noun |
| 6 | China | 813,901 | Noun |
| 7 | Screening | 704,187 | Verb |
| 8 | Director | 668,140 | Noun |
| 9 | Spirit | 531,543 | Noun |
| 10 | Shooting | 419,097 | Verb |
| 11 | Story | 338,550 | Noun |
| 12 | Audience | 321,828 | Noun |
| 13 | Honor | 311,807 | Noun |
| 14 | Lang Ping | 284,503 | Noun |
| 15 | Athlete | 249,979 | Noun |
| 16 | Authenticity | 247,001 | Noun |
| 17 | Sense of mission | 242,117 | Noun |
| 18 | Character | 237,736 | Noun |
| 19 | Reshape | 217,728 | Verb |
| 20 | Display | 217,250 | Verb |
| 21 | Team | 216,392 | Noun |
| 22 | Detail | 211,199 | Noun |
| 23 | Visual | 195,525 | Noun |
| 24 | Appear on the stage | 193,452 | Verb |
| 26 | Base | 190,843 | Noun |
| 27 | Moment | 182,961 | Noun |
| 28 | Weibo lottery | 182,456 | Noun |
| 29 | Zhangzhou | 182,105 | Noun |
| 30 | Screenwriter | 180,031 | Noun |
| 31 | Arduous | 177,684 | Adjective |
| 32 | Clipping | 176,405 | Verb |
| 33 | Adapting | 175,446 | Verb |
| 34 | Material | 175,004 | Noun |
| 35 | Uncle | 170,649 | Noun |
| 36 | PETE | 170,604 | Noun |
| 37 | Filtering | 169,737 | Verb |
| 38 | Prototype | 167,041 | Noun |
| 39 | Art | 166,914 | Noun |
| 40 | Match | 164,159 | Noun |
| 41 | Select | 163,999 | Verb |
| 42 | Struggle | 162,438 | Verb |
| 43 | Revere | 161,583 | Verb |
| 44 | One by one | 158,953 | Pronoun |
| 45 | Endless | 158,535 | Adjective |
| 46 | Do magic | 157,926 | Verb |
| 47 | Win | 133,083 | Verb |
| 48 | Jingdong | 123,274 | Noun |
| 49 | Goal | 112,303 | Noun |
| 50 | Extract | 106,226 | Verb |
Figure 2Discourse correlation in the film Lead.
Encoding process of community discourse in the sports film Lead.
| Women's volleyball | Sports theme | Theme feature |
| Film, screening | Film theme | |
| Champion | Spirit theme | |
| Screenwriter, material, match | IP shaping | Brand building |
| Lang Ping, athlete, prototype, reshaping | Image building | |
| Story, authenticity, character | Content enriching | |
| Actor, director | Star effect | |
| Base, Weibo lottery platform, Jingdong | Marketing strategy | |
| Reshaping, adapting, selecting | Creation technology | Technological innovation |
| Shooting | Shooting technology | |
| Clipping, detail, visual, music, filtering, art | Production technology | |
| Displaying | Screening technology | |
| One by one, endless | Consumption link | |
| Spirit, uncle (disseminator), Pete (disseminator) | Passion | Spirit communication |
| Struggle, revere | Inspiration | |
| China, team | Solidarity | |
| Sense of mission, appear, on the stage, arduous | Self-transcendence | |
| Honor, moment, win | Dream fulfillment | |
| Box office | Economic effect | Comprehensive effect |
| Audience, Zhangzhou (publicity effect), do magic | Social effect |
Figure 3Empathy mechanism model.
Figure 4Conceptual model of the structural equations.
Descriptive statistics of respondents' characteristics (n = 342).
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|---|---|---|---|
| Gender | Male | 146 | 42.7% |
| Female | 196 | 57.3% | |
| Age | Below 20 years old | 125 | 36.5% |
| 21–30 years old | 142 | 41.5% | |
| 31–40 years old | 44 | 12.9% | |
| Above 41 years old | 31 | 9.1% | |
| Occupation | Technical | 67 | 19.6% |
| Research | 68 | 19.9% | |
| Art | 55 | 16.1% | |
| Management | 86 | 25.1% | |
| Sociality | 39 | 11.4% | |
| Routine | 27 | 7.9% | |
| Education | Junior high school and below | 24 | 7.0% |
| High school/technical secondary school | 74 | 21.6% | |
| Junior college | 37 | 10.8% | |
| Undergraduate | 163 | 47.7% | |
| Postgraduate and above | 44 | 12.9% | |
| Marital Status | Single | 141 | 41.2% |
| In love | 116 | 33.9% | |
| Married | 63 | 18.4% | |
| Divorced or widowed | 22 | 6.4% | |
| Monthly consumption (RMB) | <3,000 | 182 | 53.2% |
| 3,000–5,000 | 92 | 26.9% | |
| 5,001–10,000 | 46 | 13.5% | |
| More than 10,000 | 22 | 6.4% |
Validity and reliability of measures.
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|---|---|---|---|---|
| Theme feature | 0.844 | 0.844 | 0.906 | 0.763 |
| Brand building | 0.885 | 0.886 | 0.916 | 0.686 |
| Affective empathy | 0.839 | 0.839 | 0.903 | 0.757 |
| Cognitive empathy | 0.871 | 0.872 | 0.912 | 0.722 |
| Technological innovation | 0.890 | 0.890 | 0.919 | 0.694 |
| Spirit communication | 0.893 | 0.895 | 0.921 | 0.701 |
Goodness-of-fit measures.
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|---|---|---|---|
| SRMR | 0.038 | <0.08 | Good fit |
| d_ULS | 0.464 | <0.95 | Good fit |
| d_G | 0.437 | <0.95 | Good fit |
| χ2 | 798.318 | ||
| NFI | 0.892 | >0.8 | Good fit |
Bootstrapping: results of pathway coefficients.
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| Theme feature -> Affective empathy | 0.189 | 0.184 | 0.061 | 3.073 | 0.002 |
| Theme feature -> Cognitive empathy | 0.207 | 0.211 | 0.053 | 3.895 | 0.000 |
| Brand building -> Affective empathy | 0.353 | 0.352 | 0.066 | 5.357 | 0.000 |
| Brand building -> Cognitive empathy | 0.209 | 0.209 | 0.057 | 3.700 | 0.000 |
| Technological innovation-> Affective empathy | 0.238 | 0.243 | 0.066 | 3.616 | 0.000 |
| Technological innovation-> Cognitive empathy | 0.259 | 0.255 | 0.056 | 4.624 | 0.000 |
| Spirit communication -> Affective empathy | 0.161 | 0.162 | 0.064 | 2.502 | 0.013 |
| Spirit communication -> Cognitive empathy | 0.285 | 0.285 | 0.059 | 4.872 | 0.000 |
Figure 5Empathy mechanism of interest-related community.