Do you find yourself scrolling more? Feeling like you blinked and two hours went by while you were looking at your phone? It isn’t just you—with so much new digital content out there, consumption has never been higher. One recent study from DoubleVerify found that we have moved from consuming digital content for three hours a day to nearly seven hours a day.
With global consumption at an all-time high, companies are increasingly sharing their content with new markets and audiences. But not all content will perform well in each individual market—and the worst thing a brand can do is alienate or offend their target customers. To meet this challenge, companies are turning to multicultural and multilingual data moderation. But how does it work?
The What & Why of Data Moderation
Data moderation or content moderation is the process of classifying user-generated data or content so it can be properly integrated into your workflows within your social or web platforms. Reviewers focus on identifying and classifying content that could be deemed egregious, misleading, upsetting, or objectionable so you can stop it from populating and being distributed across your platforms.
For content providers, information aggregators, streaming services, and online social media platforms, increasing content creation is a double-edged sword; as growth brings huge benefits, it also increases companies’ responsibility to deliver content that is safe, truthful, and in line with their standards, policies, and best practices.
Thankfully, advances in data moderation technology have made the identification and removal of harmful content easier and quicker.
There are two main approaches to moderation: pre- and post-moderation. At DataForce, we focus on post-moderation, where content is already live in your systems or platforms, but it needs to be classified, tagged, or annotated in order for it to be assigned appropriate viewing levels or user preferences. To do this, we turn to our network of over 1.3 million global contributors.
We see huge potential to use globally dispersed communities to review, annotate, and classify content to allow each provider to maintain its standards and policies. This human-in-the-loop model ensures that annotations are accurate and unbiased, and that companies can maintain a safe and steady flow of content.
How DataForce Can Help
- Provide a best-in-class proprietary annotation platform for video, audio, and text annotation
- Provide access to a global community of in-country contributors who are culturally and language aware
- Provide flexible workflows for ramping up and ramping down as needed
DataForce works globally across 250 languages, applying knowledge of both customer best practices and cultural nuances to different types of digital content so you, as a content provider, can make the best decisions for your customers, communities, and contributors.
At DataForce, we focus on providing services that bring the technology and the human together to build customized workflows that allow for content already out there to be reviewed, annotated, and classified in line with our customers’ polices, codes of practice, and publishing guidelines.
DataForce offers AI solutions across multiple industries. Contact us today to learn how we can help.