Which Is Better for Your Business – Manual or AI Visual Content Moderation?
Visual content moderation is important for businesses
or brands, especially if they have to deal with a lot of user-generated visual content.
Any association with inappropriate content can damage their reputation, weaken
consumer trust and result in decrease in sales.
Traditionally, visual content classification and moderation
has been done manually. But with the advent of AI, automated content moderation
platforms have emerged. These platforms make use of computer vision and provide
an effective way for image and video classification and moderation.
Whether a brand or business should moderate visual
content manually, use AI-powered automated content moderation or augment manual
moderation with an automated one, depends on a number of factors. These factors
are discussed here below –
Source of content
In order to build brand recognition and consumer trust,
more and more brands are now allowing user-generated content on their own platforms.
However, user-generated content is potentially risky and can include inappropriate
matter that can be highly damaging for the brands. Although brands can dictate
their content posting guidelines to users, they do not have actual control over
what a user is posting. Moderating such content is a must for brands. As there
are high chances of user-generated visual content being inappropriate or unsuitable,
brands should opt for computer vision-powered video and image classification
and moderation platform.
If in case, most of a brand’s visual content is not
user-generated, but is sourced internally or from highly trust-worthy third
parties, then for such a brand, video and image moderation can be performed
manually by hiring human content moderators and there is a lesser need for an
automated system.
Volume of content
For brands that have to deal with a good volume of
visual content, especially user-generated content, manual moderation does not
work effectively and efficiently. They should make use of computer
vision-powered image and video moderation platforms.
AI-powered systems can tackle enormous content volume
with a high degree of accuracy. Computer vision technology effectively
classifies and tags visual content at scale. Such automated systems are not
plagued by human errors, can work continuously unlike human beings, and their
algorithms get self-trained from the data they handle.
Nature of content
An automated AI content moderation platform can
effectively filter out content such as “not safe for work” images and videos,
and other forms of inappropriate, offensive or dangerous content, but it falls
short when it comes to filtering out misinformation. Here, human intervention
from human content moderators is required.
User-generated visual content can be highly mentally disturbing
for human content moderators. Filtering out such content through automated
computer vision powered content classification and moderation platform is the
best way to prevent ill effects on mental health.
Hiring a large number of human moderators is quite
expensive and may not be feasible for businesses with small budgets. Also, in
most of the cases, as discussed above, manual moderation is less effective than
computer vision powered visual content moderation.
For brands or businesses that have to handle a large
amount of user-generated visual content, computer vision-based content
moderation is much better than manual moderation in terms of accuracy,
effectiveness and efficiency.
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