E-ISSN: 2437-3594
P-ISSN: 2447-6546
DOI: https://iigdpublishers.com/article/819
The concept of long-tail distribution in statistics and commercial sales is applied to the analysis of the dissemination value of reader comment information in Internet news dissemination, and the long-tail distribution phenomenon of reader comment information is proposed. Through the statistics and analysis of reader comments on 5 news stories, it is shown that readers' comments increase the content of news information, forming two interrelated and distinct components: news body and value-added information. The opinions expressed in the reader comment area are caused and generated by news information, but they go beyond the scope of news information itself, and obviously expand the meaning of news information transmission in terms of connotation. The "1+N" information generation mode and the value of big data public opinion observation in the long-tail distribution area are summarized.
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