유튜브의 개인화 알고리즘이 ‘허위정보 경험에 대한 인식’에 미치는 영향

Since mid-2010s, creation and distribution of disinformation through social media has been increasing. Social media such as Facebook, Tweeter and YouTube are regarded as major channels of disinformation in that they bias individual media consumption through echo chamber effects and filter bubble effects. However, while discussions on the bias effects of social media are abundant, there are few empirical studies that objectively reveal the relationship between social media and disinformation. This paper empirically investigated if YouTube’s echo chamber effects and filter bubble effects actually affect perceptions of disinformation experiences, using the raw data of the 2018 Korea Press Foundation’s survey. As a result of the analysis, echo chamber effects through subscription to YouTube platform showed positive (+) relation to the perceptions of disinformation experiences. On the other hand, filter bubble effects through algorithmic recommendation did not show a statistically significant effect. These results are academically and politically meaningful in that YouTube’s algorithmic effect is the result of echo chamber effects by users rather than filter bubble effects of algorithm-based recommendation platform.