The UK Competition Court (OFT) has come out in favor of offering the internet the opportunity to self-regulate advertising based on user behavior. Last August 2009, the OFT initiated an investigation into the behavior of companies such as Google or Microsoft in relation to the use of data and personal information collected from the habits of Internet users to Indonesia Mobile Database guide and segment online advertising. Almost a year later, the OFT has stated that it will lend its support to the self-regulatory approach of the sector itself through organizations such as the Internet Advertising Bureau (IAB), the association for online commercial advertising, highlighting in this regard that “there is still much to do to be done to ensure that segmented advertising on the Internet does not violate the rights of users and consumers. ”
The vast majority of online advertising services or companies use a large amount of data about users in order to maximize and personalize the effectiveness of ads, and it is for this reason that there is growing discomfort among users and consumers about the misuse of this type of private information. Generally, this information is usually Brother Cell Phone List obtained through small files called “cookies”, which are placed on the user’s computer when they visit a specific website. Recent modifications to European privacy laws establish that these “cookies” can only be stored if the user has given their prior consent.
In this sense, the OFT stressed that consumers need to be informed more clearly when personal information or information related to their browsing habits is being collected or processed, thereby offering the opportunity to decide in these processes. the OFT, together with the Information Commissioner’s Office, are preparing to act if self-regulation is not enough, warning that the possibility of intervening not only in cases of companies that use this type of “targeted advertising could be more than likely.” “, but also to those who develop related practices, such as showing consumers different prices of services or products taking into account the information in their profile, browsing habits, or previous purchasing processes.