Synergistic Approach to Visual Content Moderation Is Both Effective and Efficient
Enormous amount of content in the form of images,
videos and text is posted on the world wide web on an hourly basis. As this
content is posted by users around the globe, the nature of the content is
highly heterogeneous.
User-generated content carries an immanent risk of
being inappropriate, harmful, offensive, or dangerous. This content can be
classified into the categories such as nudity, terrorism, hatred, child exploitation,
violence, misinformation, etc. and requires strict moderation.
Content moderation is commonly achieved through human
moderators. AI-based content moderation has also emerged and offers an
automated way to filter out inappropriate content.
The enormous and heterogeneous user generated content
cannot be moderated effectively and efficiently by using just one method of
moderation - manual or automatic. The best approach is synergistic, i.e. using
the combination of both human and AI moderation. Social media platforms are
increasingly using the synergistic approach for achieving optimum level of
content moderation.
By using the synergistic approach for content
classification and moderation, online platforms can enjoy the benefits of both
human and AI moderation - the intelligence, wisdom and judgement of human
beings, and the capability of AI-powered platforms to evaluate enormous amount
of content in no time.
AI content moderation platforms powered by computer
vision makes image and video moderation highly efficient. Computer vision can
detect faces, emotions, objects, logos, on-screen text, actions and scenes in
the images and videos with high accuracy. Such platforms can determine whether
the images or videos should be reviewed by a human content moderator or not.
Thus, human moderators are saved from filtering out large volumes of content
themselves; this also saves them from viewing mentally disturbing content in
large quantities on a daily basis. They can look only at the images and videos
flagged by the AI platform and make a publishing decision. The decision taken
by the human moderator feeds back into the algorithm, but the reason for the
decision does not.
AI makes content moderation much easier for human
moderators. By considering a number of factors, an advanced AI content
moderation algorithm can calculate a relative risk score to determine if a
user's post should be posted immediately after creation, reviewed before
posting, or should not be posted. This relative score can then be used by human
moderators while making a publishing decision.
Although AI content classification and moderation
enables online platforms to hire less number of human moderators, the need for
human moderation will always remain and is indispensable. Without human
moderators, accurate content moderation is not possible. Only human content
moderators can make decisions that lie in the gray areas of decision-making,
view a user's content from a subjective perspective, understand cultural
context of content, etc.
Armed with a computer vision powered video and image moderation platform, human content moderators easily identify and filter out
inappropriate visual content from large volumes of user generated content
posted on online platforms.
By following a synergistic approach, which involves
using both AI and human moderation, online platforms dealing with loads of user
generated content can achieve efficient and effective content moderation.
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