Find out all you need to know about Content Moderation; how it functions in artificial intelligence, as well as contents that can be moderated.
Content moderation is the process or act of ensuring that content created by online users is within acceptable guidelines unique to a particular community online.
In artificial intelligence, content moderation is the use of various automated processes at every face or level of moderation. It makes good use of computer vision and algorithms. Within this context, technology is widely used as an aid in wiping out inappropriate content and also for reviewing each post. The use of previously fed data is also crucial. The use of artificial intelligence in content moderation ensures speed, in the sense that it can immediately pull down unwanted content. In addition it prevents human moderators from bumping into content that has the potential to traumatize them.
With this method, comments or posts are thoroughly vetted before being allowed to be posted. Human moderators are assigned for this task. In the business world, this method is used to prevent negative impact on consumers and the business itself. It is also a way of protecting their brand. Once the content does not meet community guidelines it is not approved. Pre-moderation is very popular for online child communities to detect bullying.
This method involves the removal of a post which goes contrary to the guidelines of a particular online community. The use of certain tools assists moderators to duplicate and assess details of a posted content. Moderators are able to quickly decide whether to delete or maintain a content. The number of moderators is very important, especially when it is a large audience in a live interaction.
It relies on members of an online community flagging up content that breaches that community's guidelines,or which members of the community find unacceptable.Usually,buttons are available to be clicked. This alerts the administration
Supervisor moderation to ascertain whether flagged content is really inappropriate for the community. Once confirmed,the particular post is removed manually.
It is usually adopted by firms and organisations to guard against damage to their brand and reputation. The means used include relying on another user flagging inappropriate content within the confines of the law, community guidelines or general societal norms. Moderators secure the sites or platforms from harmful content such as pornography or violence.
It involves user moderation and spontaneous moderation. With user moderation,each user is allowed to moderate another's contents up or down by a point. The points are aggregated within a particular range. A limited threshold is arrived at from the score and it is shows whether the content lies at or is above the threshold. With spontaneous moderation, users randomly moderate one another's content. Allowing randomly selected content to be rated increases fairness. This type of moderation is rarely used because it relies solely on the online community.
It requires no human effort and prevents unacceptable contents from showing in an online community. Such tools as filters, and Natural Language Processing which prohibits certain words and expressions are used. They are identified,flagged, modified or deleted completely. Another tool also deletes links from IP addresses which have been prohibited.
Especially in the use of Natural Language Processing, content moderation does not give room for "thinking outside the box." Content moderation does not take into consideration the circumstances,intent and emotions behind a post. For example, one jokingly posting "I will knock you out" will be flagged in automated moderation as violent speech.
Content moderation has an emotional effect on moderators. Moderators are daily faced with explicit and traumatising data. It has a psychological effect on them and has the tendency to shoot arrows of mental burnout.
Usually, community regulatory guidelines are inaccurate. Content moderation does not take into account the technical or cultural context under which a content is created.
The large volumes of data that come in on a daily basis poses a significant toll especially for human moderators who have to manually check each content to decide what to do with them. It is also difficult,even with the aid of artificial intelligence to moderate content within expected time.
Text: Context- based text filter and classification notices and removes harmful content before users see it. Prohibited words and sensitive content ,such as threats and hate speech is automatically noticed and deleted.
Image: Within this context, images that depict nudity, violence, weapons,drugs or gore are automatically detected and deleted.
Video: Content moderation automatically detects video frames which contain violence,gory images, drugs, weapons or nudity.
Find out in our article, what is the purpose of image preprocessing in deep learning?
A sensor or instrument may need to undergo a series of changes known as sensor calibration in order for the instrument to operate as correctly and error-free as feasible. The benefits of calibrating include some of the following.
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