Research On User's Perceived Privacy Risk Of Algorithmic Recommendation News

The combination of algorithms and big data has been integrated into many aspects of news,such as news automation production,personalized recommendations and comment guidance.Particularly,the algorithmic recommendation,with the widespread use of smart phones,has become a more common distribution mechanism in the field of journalism and communication,while obtaining information through the algorithmic recommendation platform is also becoming a routine and habit for people to read news.However,the downside that the application of algorithms in news distribution leaks user's privacy due to the profit-driven market of commercial organizations can not be ignored,though it can meet personal needs in an environment of mass information.Therefore,in order to investigate the users' perception of the privacy risk of algorithmic recommendation news and its influencing factors,this research explored the current condition of privacy risk perception of algorithmic recommendation news users from the perspective of users,and the factors that affect the level of privacy risk perception were also conducted from the perspective of individuals,companies and government,and then some corresponding countermeasures and suggestions for personal privacy protection were accordingly provided.This research is based on a survey of 373 algorithmic recommended news users,the study found that at present,Chinese users do have some awareness towards the privacy risks which hidden in algorithmic recommendation news,and their perception level is above average.In terms of influencing factors,privacy concerns at the individual level can enhance the users' perception of privacy risk,whose impact is most obvious among all factors.On the other hand,the perceived effectiveness of privacy policy at the enterprise level and the perceived effectiveness of governmental regulation at the government level have a significant negative effect on users' perception of privacy risks,but the impact of former one is higher than the later one.In response to this,this article devotes in providing suggestions from three aspects.Firstly,from the individual level,users can enhance their control of personal information by fully understanding the privacy policy of the enterprise platform,regularly clearing cookies and historical browsing data from mobile phones,using professional privacy protection technology or privacy encryption technology to prevent personal privacy from being tracked and leaked.Secondly,from the aspect of enterprise platforms,enterprise platforms should first build a privacy policy negotiation mechanism for users so as to enhance users' perceived effectiveness of privacy policy and reduce users' perception of privacy risk by increasing users' reading rate of the privacy policy,carrying out information practice activities in strict accordance with the terms of the privacy policy,and adopting professional detection methods,etc.Thirdly,from the perspective of government supervision,the Chinese government should gradually improve the legal system of personal information protection,strengthen the legal responsibility of the enterprise platform,and increase the cost of illegality to enhance users' perceived effectiveness of governmental regulation and reduce their perception level of privacy risk.