網路健康謠言內容分析研究

A Content Analysis of Internet Health Rumors

羅文伶(Wen-Ling Lo) ； 邱銘心(Phoebe Ming-Hsin Chiu)

《教育資料與圖書館學》 52卷1期 (2015/01) Pp. 3-31+i

https://doi.org/10.6120/JoEMLS.2015.521/0647.RS.BM

摘要

本研究採用內容分析法，以在網路上所散佈的健康謠言為標的。從「網路追追追」網站蒐集295筆網路健康謠言作為分析樣本，探討其內容特徵與表現方式、各主題健康謠言內容型態，以及查證屬實為健康資訊與健康謠言的差異。研究發現，網路健康謠言常見主題為保健與預防資訊，多數描述一特定行為或食品／用品，沒有精確日期及地點；最常採用專業說法及親身體驗為佐證，主要目的為注意／警惕、分享新知；三成採用第一人稱描述；半數謠言的主要訊息源於親友、醫師說法，及本人經驗。最常採用敘事、新聞報導的形式進行敘述，對收訊者而言感受上較親切且易讀。查證屬實的健康資訊與錯誤訊息，兩者亦差異不大。本研究的發現期能作為民眾接收到相關健康資訊時的初步判斷依據，以及相關單位進行衛教活動、講座活動之參考，最終期能提升民眾的健康素養。

關鍵字

消費者健康資訊 ； 謠言 ； 健康謠言 ； 內容分析

並列摘要

This study used content analysis method to investigate Internet health rumors on Rumor Breaker, specifically on the characteristics of content and format, the similarities and differences by themes, and the comparison of health information and health rumors. The results of the study indicated that the most common theme of health rumors is health and prevention information. The health rumors commonly described the influence of ＂particular behavior＂ and ＂specific food or appliances＂ on one's health; also most of the health rumors didn't specifically mention when or where the events happened. To make the information more persuasive, the health rumors provide ＂statement from professional＂ and ＂personal experience＂ as evidence and proof. 30% of the health rumors would describe the events in first person narrative. Half of the health rumors are set to come from doctors and one's personal, family and friends' experience. It's much familiar to the receivers by narrating the event or reporting the event as news. The characteristics of all themes of the health rumors are similar to the characteristics of all rumors under investigation. Also, there are less different characteristics between the verified information and the rumors. This study hopes to provide a guide for verifying health information, and to support health promotion and education through literacy in identifying rumors.

並列關鍵字

Consumer health information ； Rumors ； Health rumors ； Content analysis

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