Twitter offers a massive platform on which many subjects and topics can be discussed and shared. This massive platform can be accessed by anyone and is an enormous resource for all sorts of applications.
Some general applications of Twitter include:
Informal learning can be defined as any learning done in a non-classroom setting that is unplanned or spontaneous. Formal learning is done in a formal setting, like a classroom. Informal learning takes place in everyday circumstances, and most people do not notice it happening. Throughout a day, an individual's brain takes in a massive amount of information and processes it. The act of processing this information is informal learning. Through interactions with people, reading materials, conversations, as well as the utilizing the five senses, an individual learns about people, places, and things everyday. This process can be seen happening via Twitter. [6]Because Twitter's platform is a microblog, anyone can post anything that they choose. When tweets of a certain subject or topic are gathered, there is a large amount of new information available to the user. For example, during the Occupy Wall Street movement, there were large amounts of tweets regarding the movement, the protesters, and the critics of the protesters. By utilizing this data from various sources like, news agencies, bystanders, critics, and the protesters themselves, a user is able to piece together what was happening, why people were protesting, and why some disagreed. This is a prime example of informal learning, not only because the user gains knowledge they lacked previously, but also they are able to form an opinion and discuss the subject with others. While Twitter and other social media platforms offer this knowledge, the user must have the sense to determine which sources are credible, what information is true, and also be able to sift through data on such a large scale without losing interest.
Mental health data is highly prevalent on social media, with thousands of tweets or posts being sent everyday. These tweets include tweets about all kinds of mental health disorders, treatment options, and fighting the stigma that comes with having a mental health condition. Often it is difficult for individuals to physically speak about their mental health condition, and social media offers a less direct platform for identifying an illness they suffer from. By using previous tweets, a model was built that analyzes the language of tweets to identify users who have a mental health disorder, and can accurately diagnose them. [4] Through this model, it has shown how many people actually suffer from a disorder, and reveals those who have more than one disorder as certain conditions often present themselves together. For example, users identified with obsessive compulsive disorder (OCD) were more likely to also have schizophrenia as well, as compared to other users. Anxiety, depression, eating disorders, and bipolar disorder were also grouped together. This new research gives medical professionals access to a large amount of previously inaccessible data that can be used to effectively determine mental health disorders among the population.
When taking medication for a condition, experiencing an unforeseen and unwanted side effect is call an adverse drug reaction (ADR). ADR are a leading cause of death globally, and can also cause serious lifelong disabilities or impairments. In the United States, many drugs are approved before all known ADRs are discovered. Physicians and other medical professionals then report ADRs when they appear in their patients. There currently is no reliable system for sorting through consumer comments and descriptions of the symptoms that they are experiencing. Like in the case of mental health, individuals often turn to social media, posting about their condition, often trying to self-diagnose. These posts are invaluable. Most feedback about drugs is given by the physician or other medical professional, in the formal medical jargon. These posts, on sites like MedHelp.org, detail symptoms, pain, and how exactly the patient is feeling, without a potential misinterpretation by their doctor. Techniques have been developed that will allow researchers to utilize patient posts. This assists the medical community in assessing the benefits and the side-effects of certain drugs, and determine if that particular drug is too dangerous for human use.
Twitter offers a massive platform on which many subjects and topics can be discussed and shared. This massive platform can be accessed by anyone and is an enormous resource for all sorts of applications.
Some general applications of Twitter include:
Informal learning can be defined as any learning done in a non-classroom setting that is unplanned or spontaneous. Formal learning is done in a formal setting, like a classroom. Informal learning takes place in everyday circumstances, and most people do not notice it happening. Throughout a day, an individual's brain takes in a massive amount of information and processes it. The act of processing this information is informal learning. Through interactions with people, reading materials, conversations, as well as the utilizing the five senses, an individual learns about people, places, and things everyday. This process can be seen happening via Twitter. [6]Because Twitter's platform is a microblog, anyone can post anything that they choose. When tweets of a certain subject or topic are gathered, there is a large amount of new information available to the user. For example, during the Occupy Wall Street movement, there were large amounts of tweets regarding the movement, the protesters, and the critics of the protesters. By utilizing this data from various sources like, news agencies, bystanders, critics, and the protesters themselves, a user is able to piece together what was happening, why people were protesting, and why some disagreed. This is a prime example of informal learning, not only because the user gains knowledge they lacked previously, but also they are able to form an opinion and discuss the subject with others. While Twitter and other social media platforms offer this knowledge, the user must have the sense to determine which sources are credible, what information is true, and also be able to sift through data on such a large scale without losing interest.
Mental health data is highly prevalent on social media, with thousands of tweets or posts being sent everyday. These tweets include tweets about all kinds of mental health disorders, treatment options, and fighting the stigma that comes with having a mental health condition. Often it is difficult for individuals to physically speak about their mental health condition, and social media offers a less direct platform for identifying an illness they suffer from. By using previous tweets, a model was built that analyzes the language of tweets to identify users who have a mental health disorder, and can accurately diagnose them. [4] Through this model, it has shown how many people actually suffer from a disorder, and reveals those who have more than one disorder as certain conditions often present themselves together. For example, users identified with obsessive compulsive disorder (OCD) were more likely to also have schizophrenia as well, as compared to other users. Anxiety, depression, eating disorders, and bipolar disorder were also grouped together. This new research gives medical professionals access to a large amount of previously inaccessible data that can be used to effectively determine mental health disorders among the population.
When taking medication for a condition, experiencing an unforeseen and unwanted side effect is call an adverse drug reaction (ADR). ADR are a leading cause of death globally, and can also cause serious lifelong disabilities or impairments. In the United States, many drugs are approved before all known ADRs are discovered. Physicians and other medical professionals then report ADRs when they appear in their patients. There currently is no reliable system for sorting through consumer comments and descriptions of the symptoms that they are experiencing. Like in the case of mental health, individuals often turn to social media, posting about their condition, often trying to self-diagnose. These posts are invaluable. Most feedback about drugs is given by the physician or other medical professional, in the formal medical jargon. These posts, on sites like MedHelp.org, detail symptoms, pain, and how exactly the patient is feeling, without a potential misinterpretation by their doctor. Techniques have been developed that will allow researchers to utilize patient posts. This assists the medical community in assessing the benefits and the side-effects of certain drugs, and determine if that particular drug is too dangerous for human use.