Self Disclosure
Self-disclosure can be defined as the act of making one’s self known to others. Self-disclosure aids in the process of getting to know another
person and maintaining a relationship with them. There have been studies on individuals that spend more in their room on a SNS, their more likely to seek friends in an area away from crowds, as well as not sitting next to people in a waiting room. Privacy is no longer a social norm, making it possible for each of us to control our own self disclosure. A lot of SNS require you to disclose more and more information about yourself in order for the SNS to work the way it’s intended. In many SNS your friends can tag and post on your wall freely, this may pose as the biggest threat. SNS can also cause problem by digital crowding by: providing discrete privacy settings, by providing the user with many audiences, and by encouraging users to post of others walls and tag others so that many different viewers can see this information.
Self disclosure can be measured in 2 different dimensions: breadth and depth. Breadth is the quantity of information as well as the quality. Depth can be described as the information the individual is willing to share; from location to fantasies. Self disclosure effect: people who disclose more are more liked, people disclose the people the link, people like others who disclose. As stated in the article, privacy issues occur whenever information made for one domain becomes visible in another. It can become difficult for one to maintain boundaries throughout different SNS. Everyone determines their own meaning of privacy, what is okay to share for one person may not be for another person. When you put a bunch of people together, not all their definitions of privacy and disclosure are going to match up; this is when digital crowding begins (Joinson, Houghton, Vasalou, Marder, 2011).
For a user digital crowding can be helped or minimized in many ways: by relying on the SNS to change their SNS boundaries by setting limits, for example, LinkedIn is designed for professionals.
SNS are requiring more self disclosure from individuals who participate in their sites. Some SNS link where pictures have been taken when you post them, giving away your location. Some SNS ask for some much personal information that users decline to be a part of this site. It may be true that
people don’t even read the privacy settings/disclosure statement when becoming a member of a SNS or they read it and don’t fully comprehend what is being stated.
How and why we disclose varies amounts of information could be based on the audience. Self boundaries, which is the boundary around a person is influenced by self-disclosure. 759 members of an online research panel of Open University, students called PRESTO participated in a study that was split up into two different times. The first time was privacy measures were completed and the second time (six weeks later) the self disclosure measures and privacy and trust were collected. The first set of data was collected using a set of 16 privacy attitude items and 12 reported privacy behavior items developed by Buchanan, Paine, Joinson, and Reips. 2010. For the second set of data that was collected participates completed a 10 item scale of self disclosure. During the first study participates were told they would be completing questions that had to do with privacy. In the second part of the study participates were told they would be completing questions that may contain sensitive information but they were encouraged to answer them as completely and honestly as possible.
They found that females were less likely to answer sensitive questions than males. It was also found that privacy affects individual’s willingness to disclose personal information. As it was predicted people’s privacy concerns aided in their willingness to disclose personal information 6 weeks later.
Twitter allows the user to create and share any information they would like, whether that be sensitive information is the users choice. Children and younger user may not know when information is to sensitive to share, therefore there are different types of software that will aid in telling the users this is sensitive information. As new social networking sites are being made available they may have more information about aiding in the protection of sensitive information.
Self-disclosure is stated to be when someone informs another person of sensitive information they wouldn’t have otherwise known without being told by that person. Self disclosure can be good as it helps gain trust and gets people to learn your real self. Self disclosure can also be bad because it’s revealing someone’s personal information that may become available to individuals that weren’t meant to obtain this information. Many people participate in social networking sites where they disclose information about themselves; from phone number to where they work. If information like this wasn’t intended for public eye, it may hurt the person that provided the information. Self disclosure is hard to measure or set a definite meaning too, as peoples meaning of the word is dependent on personal beliefs. In study 1, there were two sites used, Twitter and Secret Tweet. Both sites control how many characters a user can post. Secret Tweets are kept anonymous while twitter usually isn’t. Secret Tweets go on a website where any user can view compared to Twitter were the use has specific followers. 500 tweets were collected in total for this experiment. Each tweet was examined for specific words as well as punctuation within the statement. Secret Tweet was found to be more sensitive and disclose more sensitive information, being that is was posted anonymously. Secret Tweets was found to use more past tense words and the word “I” more, describing what actually happened in real life.
Study 2 gathers information from Twitter and the self disclosure that is being displayed within the site. The individuals who rated these tweets rated them according to the tweets context; meaning what it contained, for example past tense, negativity, love, hate, etc. The researchers found that the more sensitive tweets contained information about family, negative emotions, sexual information, etc. It is shown that more sensitive self disclosure information is revealed when using the words in the third person, like he, she, and also when using verbs in a sentence. Using the words, on, from, or beneath have also been shown to disclose more sensitive information (Houghton, Joison, 2012).
person and maintaining a relationship with them. There have been studies on individuals that spend more in their room on a SNS, their more likely to seek friends in an area away from crowds, as well as not sitting next to people in a waiting room. Privacy is no longer a social norm, making it possible for each of us to control our own self disclosure. A lot of SNS require you to disclose more and more information about yourself in order for the SNS to work the way it’s intended. In many SNS your friends can tag and post on your wall freely, this may pose as the biggest threat. SNS can also cause problem by digital crowding by: providing discrete privacy settings, by providing the user with many audiences, and by encouraging users to post of others walls and tag others so that many different viewers can see this information.
Self disclosure can be measured in 2 different dimensions: breadth and depth. Breadth is the quantity of information as well as the quality. Depth can be described as the information the individual is willing to share; from location to fantasies. Self disclosure effect: people who disclose more are more liked, people disclose the people the link, people like others who disclose. As stated in the article, privacy issues occur whenever information made for one domain becomes visible in another. It can become difficult for one to maintain boundaries throughout different SNS. Everyone determines their own meaning of privacy, what is okay to share for one person may not be for another person. When you put a bunch of people together, not all their definitions of privacy and disclosure are going to match up; this is when digital crowding begins (Joinson, Houghton, Vasalou, Marder, 2011).
For a user digital crowding can be helped or minimized in many ways: by relying on the SNS to change their SNS boundaries by setting limits, for example, LinkedIn is designed for professionals.
SNS are requiring more self disclosure from individuals who participate in their sites. Some SNS link where pictures have been taken when you post them, giving away your location. Some SNS ask for some much personal information that users decline to be a part of this site. It may be true that
people don’t even read the privacy settings/disclosure statement when becoming a member of a SNS or they read it and don’t fully comprehend what is being stated.
How and why we disclose varies amounts of information could be based on the audience. Self boundaries, which is the boundary around a person is influenced by self-disclosure. 759 members of an online research panel of Open University, students called PRESTO participated in a study that was split up into two different times. The first time was privacy measures were completed and the second time (six weeks later) the self disclosure measures and privacy and trust were collected. The first set of data was collected using a set of 16 privacy attitude items and 12 reported privacy behavior items developed by Buchanan, Paine, Joinson, and Reips. 2010. For the second set of data that was collected participates completed a 10 item scale of self disclosure. During the first study participates were told they would be completing questions that had to do with privacy. In the second part of the study participates were told they would be completing questions that may contain sensitive information but they were encouraged to answer them as completely and honestly as possible.
They found that females were less likely to answer sensitive questions than males. It was also found that privacy affects individual’s willingness to disclose personal information. As it was predicted people’s privacy concerns aided in their willingness to disclose personal information 6 weeks later.
Twitter allows the user to create and share any information they would like, whether that be sensitive information is the users choice. Children and younger user may not know when information is to sensitive to share, therefore there are different types of software that will aid in telling the users this is sensitive information. As new social networking sites are being made available they may have more information about aiding in the protection of sensitive information.
Self-disclosure is stated to be when someone informs another person of sensitive information they wouldn’t have otherwise known without being told by that person. Self disclosure can be good as it helps gain trust and gets people to learn your real self. Self disclosure can also be bad because it’s revealing someone’s personal information that may become available to individuals that weren’t meant to obtain this information. Many people participate in social networking sites where they disclose information about themselves; from phone number to where they work. If information like this wasn’t intended for public eye, it may hurt the person that provided the information. Self disclosure is hard to measure or set a definite meaning too, as peoples meaning of the word is dependent on personal beliefs. In study 1, there were two sites used, Twitter and Secret Tweet. Both sites control how many characters a user can post. Secret Tweets are kept anonymous while twitter usually isn’t. Secret Tweets go on a website where any user can view compared to Twitter were the use has specific followers. 500 tweets were collected in total for this experiment. Each tweet was examined for specific words as well as punctuation within the statement. Secret Tweet was found to be more sensitive and disclose more sensitive information, being that is was posted anonymously. Secret Tweets was found to use more past tense words and the word “I” more, describing what actually happened in real life.
Study 2 gathers information from Twitter and the self disclosure that is being displayed within the site. The individuals who rated these tweets rated them according to the tweets context; meaning what it contained, for example past tense, negativity, love, hate, etc. The researchers found that the more sensitive tweets contained information about family, negative emotions, sexual information, etc. It is shown that more sensitive self disclosure information is revealed when using the words in the third person, like he, she, and also when using verbs in a sentence. Using the words, on, from, or beneath have also been shown to disclose more sensitive information (Houghton, Joison, 2012).