Abstract: The present invention provides a method for identifying trends and correlation of content items characteristics in relation to user emotional reaction. The method comprising the steps of: receiving plurality of rating/votes originated by different users relating one or more content item, wherein the user is required to selection emotion icon from multiple choice emotion icons, analyzing statistics of users selections by identifying characteristics of the news/article item, including at least one of; timing of news item publication, subject of content item, source/writer of the content, context of the content, style of content, key words/image appearing in the content and identifying correlations of content item characteristics in relation user emotion reaction according to the said analysis identifying trends.
Abstract: A method for determining and organizing multimedia content of a network page, related to reactions of at least one user to at least one common content object or context. The method includes receiving plurality of comments originated by different users relating one or more common multimedia object, wherein the user is required to define characteristics of their comment from multiple choice of definition types, enabling users to react to the comment by selecting one type of reaction from multiple choice of reaction types, wherein the each reaction type define different characteristics of the comment, analyzing comment characteristics as defined by the originator user and/or by reaction type; and selecting and organizing of comments and/or content objects which are related to the comments and/or and the relevant reactions according to the analysis.