Facebook mobile support tag feature: Challenge Twitter

Sina Science and technology news Beijing time June 28 morning, according to the U.S. Science and Technology blog TechCrunch reported that Facebook today will increase its mobile website label support, and the introduction of related tags (related hashtag), to try to get users to participate in the global discussion,　　Another step forward on the road to challenging Twitter. Starting tonight, when Facebook users click or search for a tag, the search results page also shows other popular tags that are often used.　　For example, when a user searches for "#equality", labels such as "#lgbt" and "#pride" appear in the results. Earlier this month, Facebook launched a Twitter-like label for users, turning the text before it into a hyperlink that users can click to see popular content from friends, brand pages and other publicly-posted people.　　Users can also search for specific tags to track all the information under a hot topic. At the time, the Facebook mobile version did not support the label feature, and even now iOS and Android Facebook apps don't support this feature. Facebook said in an interview today that the company will launch its labeling feature in its HTML5 mobile website m.facebook.com tonight.　　Industry insiders believe that this is significant, because the release of the user to participate in activities related to the tag posts, is a core use case. The related tags will ensure that the user does not miss any parallel conversations, and Twitter has already supported this feature. Facebook says it is often used for what kinds of labels, and has conducted in-depth analysis to discover their associations.　　For example, after you see a label, users may click on a series of related tabs to track more posts about a hot topic. Some may think that Facebook will use the trend topic directly, or other advanced tagging functions, but now it seems that Facebook is still in the learning phase. By gradually introducing the tagging feature, Facebook can learn about the user's usage, get enough data, and tell them how to best capture the useful information about the conversation. (Qing Chen)