资料：The increasing amount of personal information that can be collected by computer programs that track how people use Facebook has been revealed by an extensive academic study.

Such programs can show undisclosed private information such as Facebook users' sexuality, drug-use habits and even whether their parents separated when they were young, according to the study by the University of Cambridge academics.

In one of the biggest studies of its kind scientists from the university’s team and a Microsoft-funded research center analyzed data from 58,000 Facebook users to predict traits and other information that were not provided in their profiles.

The algorithms were 88 per cent accurate in predicting male sexual orientation, 95 per cent for race and 80 per cent for religion .And political leanings, personality

types and emotional stability were also predicted with accuracy ranging from 62-75 per cent.

The study highlights growing concerns about social networks and how data trails can be mined for sensitive information even when people attempt to keep information about themselves private ：Less than 5 per cent of users were connected with explicitly gay groups.

Michal Kosinksi ，one of the report’s authors told the Financial Times that the university’s techniques could easily be replicated by companies to inter personal attributes a person did not wish to share such as sexual orientation or political views:”We used very simple and generic methods :Marketing companies and internet companies could spend much more time and resources and hence get much higher accuracy than we did.

The report also revealed some unexpected correlations such as people who liked ‘curly fries’ having higher IQs while those Who like Facebook’s “Sliding on Floors With Your Socks On”page were unlikely to use drugs.

What is the main point of this passage?

• A.The efficiency of computer programs in data analysis
• B.The result of a study can be predictable by computers
• C.Usefulness of some personal information in marketing
• D.Personal Information could be collected and analyzed online