were aware of what was legal and illegal in relation to file sharing, but there was a divide as to where they felt the legal burden should be placed: 49 percent of people believed P2P companies should be held responsible for illegal file sharing on their networks, 18 percent viewed individual file sharers as the culprits, while 18 percent either didn't know or chose not to answer. According to an earlier poll, 75 percent of young voters in Sweden (18-20) supported file sharing when presented with the statement: "I think it is OK to download files from the Net, even if it is illegal." Of the respondents, 38 percent said they "adamantly agreed" while 39 percent said they "partly agreed". An academic study among American and European college students found that users of file-sharing technologies were relatively anti-copyright and that copyright enforcement created backlash, hardening pro-file sharing beliefs among users of these technologies. Communities in P2P file sharing networks Communities have a prominent role in many peer to peer networks and applications, such as BitTorrent, Gnutella and DC++. There are different elements that contribute to the formation, development and the stability of these communities, which include interests, user attributes, cost reduction, user motivation and the dimension of the community. Interest attributes Peer communities are formed on the basis of common interests. For Khambatti, Ryu and Dasgupta common interests can be labelled as attributes "which are used to determine the peer communities in which a particular peer can participate". There are two ways in which these attributes can be classified: explicit and implicit attributes. Explicit values are information that peers provide about themselves to a specific community, such as their interest in a subject or their taste in music. With implicit values, users do not directly express information about themselves, albeit, it is still possible to find information about that specific user by uncovering his or her past queries and research carried out in a P2P network. Khambatti, Ryu and Dasgupta divide these interests further into three classes: personal, claimed and group attributes. A full set of attributes (common interests) of a specific peer is defined as personal attributes, and is a collection of information a peer has about him or herself. Peers may decide not to disclose information about themselves to maintain their privacy and online security. It is for this reason that the authors specify that "a subset of...attributes