The latest Tweets from Meet the Press (@MeetThePress). Meet the Press is the longest-running television show in history. If it's Sunday, it's Meet the Press with. A hashtag is a type of metadata tag used on social networks such as Twitter and other .. Chloe Sladden, Twitter's director of media partnerships, identified two types of Hardwick on Comedy Central features a daily game entitled "Hashtag Wars," the Russia–United States summit as the "#HELSINKI Meeting". The latest Tweets from MTP Daily (@MTPDailyTweets). Does America really need a Meet The Press Daily?.
They cannot be "retired" from public usage, meaning that any given hashtag can theoretically be used in perpetuity. They do not contain any set definitions, meaning that a single hashtag can be used for any number of purposes, as chosen by the creators of them. Hashtags intended for discussion of a particular event tend to use an obscure wording to avoid being caught up with generic conversations on similar subjects, such as a cake festival using cakefestival rather than simply cake.
However, this can also make it difficult for topics to become "trending topics" because people often use different spelling or words to refer to the same topic. For topics to trend, there has to be a consensus, whether silent or stated, that the hashtag refers to that specific topic.
Hashtags also function as beacons in order for users to find and "follow" subscribe or "list" organize into public contact lists other users of similar interest.
Television broadcasters such as Channel 4 have employed the hashtag during the transmission of programmes such as First Dates and The Undateables. Research has shown that audience numbers go up when individuals can be interactive by tweeting while viewing a programme.
Hashtags can be used on the social network Instagramby posting a picture and hashtagging it with its subject. As an example, a photo of oneself and a friend posted to the social network can be hashtagged bffl or friends. Instagram has banned certain hashtags, some because they are too generic, such as photography iPhone iphoneography, and therefore do not fulfill a purpose. They have also blocked hashtags that can be linked to illegal activities, such as drug use. Despite Instagram's content policies, users are finding creative ways of maintaining their practices and ultimately circumventing censorship.
Thus, by leaving various hashtags under the video, they are trying to increase their views and gain as many likes as possible. Usually, hashtags are left under the video itself in a special line. By clicking on the hashtag you go directly to the link to the video, which are similar in topic. Hashtags are also used informally to express context around a given message, with no intent to categorize the message for later searching, sharing, or other reasons.
One of the functions of the hashtag is to serve as a reflexive meta-commentary, which contributes to the idea of how written communication in new media can be paralleled to how pragmatic methodology is applied to speech. Another function of the hashtag can be used to express personal feelings and emotions. For example, with "It's Monday!! US GDP growth is back! In this case, the hashtag provides an essential piece of information in which the meaning of the utterance is changed entirely by the disclaimer hashtag.
This may also be conveyed with sarcasm, as in the previous example. Self-mockery is another informal function of the hashtag used by writers, as in this tweet: Yup, there's today's lessoninhumility," where the informality of the hashtag provides commentary on the tweet itself.
In the case of the latter, hashtags for blog comments and directly submitted comments were used to maintain a more constant rate of user activity even when paid employees were not logged into the website. Broadcasters may display a hashtag as an on-screen bugencouraging viewers to participate in a backchannel of discussion via social media prior to, during, or after the program.
Television commercials have sometimes contained hashtags for similar purposes. Broadcasters also make use of such a style to index select posts for live broadcast.
The Scientific World Journal
Chloe Sladden, Twitter's director of media partnerships, identified two types of television-formatted usage of hashtags: SunnyFX and instantaneous, "temporary" hashtags issued by television personalities to gauge topical responses from viewers during broadcasts.
Every Wednesday, Fallon hosts a segment on his show called "Tonight Show Hashtags," which engages viewers by inviting them via Twitter to post humorous stories based on a specific hashtag topic, such as WhydidIsaythat, Worstfirstdate, to Onetimeinclass, reflecting on funny experiences in daily life.
By using hashtags, Fallon creates a sense of community and solidarity among his viewers and draws a wider range of viewers through an online platform while they watch a classic, non-interactive television program. Because of its popularity, the "Tonight Show Hashtags" are usually the 'most tweeted hashtag' on Twitter, which promotes the show. By engaging viewers with a lighthearted subject and simple hashtags, Fallon can gauge topical responses from viewers during broadcasts and also use the hashtags to brand his show.
Abstract Social network services e. Particularly, in terms of time and space, various smart devices have improved the accessibility to the social network services.
In this paper, we present a social software platform to detect a number of meaningful events from information diffusion patterns on such social network services. The most important feature is to process the social sensor signal for understanding social events and to support users to share relevant information along the social links. The platform has been applied to fetch and cluster tweets from Twitter into relevant categories to reveal hot topics. Introduction Online services have been playing an important role in human life.
Since these services help people to connect, transmit, share, and support diverse demands, most of people are using these services at work and daily activities. In particular, social network service called SNS has become more popular than the traditional communication media, for example, e-mail, SNS, video streams, and so on. Twitter over million users, more than million active usersFacebook 1.
These SNSs can be used with a number of types of social relationships, for example, a group of friends, a community of like-minded users, or business company and their customers. The users can share or announce their ideas, activities, and interesting events with others.
Possible reasons are broad connection, diversity of applications, OS-independence, ease of use, and explosion in the number and kind of personal devices which are integrated wireless components, for example, smart phone, cameras, camcorders, and so on.
It allows people to quickly update the latest information, their own opinion, or commentary toward a daily event. It opens a challenge issue of detecting which conversation topic trends are discussed and how to cluster incoming messages into relevant topic categories.
For example, many news organizations use Twitter daily to post new short message with the purpose of sending information to a wide variety of people about hot news.
A combination of information from multiple sources can show a completed image about one or a group of facts. However, because of huge number of messages, it is difficult for people to follow all news and also to know what the significant information is. So, Figure 1 shows an example about a demand of tracking relevant message; we need an application that can notify what is discussed on SNSs right after these messages appeared on the data stream.
And it is very useful if the application can extract embedded information in its content that will help to reduce time of monitoring and managing news on social networks. Example about demand to monitor and aggregate information.
Hashtag - Wikipedia
With assumption that a social topic or an event will attract more attention from people when and around its first time of occurrence either in public or among a group of related users such as hobby group, technology community, and business network. Its signal can be expressed at the rapid increase in a short time range of 1 the number of messages described about a fact even if it is the personal opinions; 2 the response transactions which includes replying, discussion, or sharing action on an original message; 3 the frequency occurring of terms including meaningful keywords, named entities, or phrases.
In this paper, we only discuss topics, which relate to a community or to public scale, gathering a large enough number of messages about their context. These messages are collected in runtime on a data pipeline from Stream API application programming interface of SNS sites; the number of incoming message at a certain time can be large so that it requires an effective method to be processed, especially, when we use the rapidly changing symptoms of occurring frequency terms and the cooccurring frequency between them to look for topic trend candidates.