PROTECT

Protect your community from harmful content

Sence reads comments and DMs as they arrive, hides what breaks your rules and leaves the rest of the conversation open. Your team controls the policy and the edge cases.

Trusted by teams using Sence

  • Carl's Jr.
  • RNZ
  • The New Zealand Herald
  • Letterboxd
  • Daily Mail Australia
  • Seven News
  • All Blacks
  • Sky
  • Sunrise
  • Black Ferns
  • KFC
  • Newstalk ZB
  • NZ Team
  • Pizza Hut
  • Pulse Tasmania
  • Taco Bell
  • The Warehouse

Your community does not keep office hours

Reduce manual moderation while keeping your team in control. Sence has analysed millions of social media comments in the last six months. In that time 21% of the comments left on brand communities were flagged as harmful, and the mix is not the one most teams brace for.

Every comment and message read on arrival

Sence connects to your channels and reads what lands, comment by comment, across Facebook, Instagram, YouTube and TikTok, plus direct messages on Facebook, Instagram and TikTok. Nothing waits in a queue for someone to open a tab in the morning, and it keeps pace when a final, a product launch or a bad news cycle hits the comment section all at once.

  • Comments on four networks, direct messages on three
  • Read on arrival, 24/7, never batched overnight

Your rules. Your taxonomy. Your thresholds.

Sence does not ship a default classifier. Every classifier is built from your own moderation decisions and your own policy taxonomy, so the line between a fan roasting the referee and a comment aimed at a person sits where your team drew it. Anything that breaches your rules is hidden before your audience sees it.

  • Moderation across eight categories of harmful comment
  • Banter stays, targeted abuse goes
  • Automatic in real time, or flagged for your team to decide

Three jobs, one classification pass

Everything runs off the same pass over the same comment. Comment & DM moderation software handles what arrives, custom content classification decides what counts as harmful in your community, and talent & team abuse protection covers the people it is aimed at.

01 A comment arrives

@grimjab_77Facebook

02 Classified

Category
Violent Threat

Aimed at the post author and describing harm, not reacting to the game.

03 Sentiment and theme

Sentiment
Negative
Theme
Controversial selections of players

04 Action taken

Hidden

Not visible to your audience; the classification and the reasoning are logged.

05 In the dashboard

2,442

comments on this post, every one read on arrival

Controversial selections of players

12% positive, 15% neutral, 70% negative, 3% mixed
Our approach

A toxicity score cannot tell banter from abuse

Generic harm scores force every community through the same threshold. Sence uses your taxonomy and your decisions, so it can leave legitimate disagreement up while removing what your policy says crosses the line.

Sence does not ship a default classifier. Every classifier is built from your own moderation decisions and your own policy taxonomy, so the line sits where your team drew it, on your topics, in the language your community actually uses. That is what produces fewer false positives and fewer missed violations than a generic approach.

  • No default toxicity model, and no threshold set by someone else
  • Trained on your own moderation decisions, not on the open internet
  • Different rules for different topics, where your policy needs them
  • Every correction your team makes feeds back into your classifier

Frequently asked questions

You do. Sence moderates across eight categories of harmful comment: hate, harassment, spam and scams, violence, extremist content, illicit activity, self-harm and sexual content. Where the line sits inside each category is set by your own policy, in workshops with your team, and it can differ by topic.

Yes. Sence can moderate automatically in real time, or your team can review flagged comments and decide whether to hide them. Every correction your team makes feeds back into your classifier.

It is flagged rather than hidden, and it waits for a person. Human review is available at any classification point, so the borderline calls sit in a queue for your team while the obvious ones keep running automatically. Your team decides whether it is hidden, deleted or left alone.

Platform filters work one network at a time and mostly on keywords, and a keyword list is always a step behind a community writing around it. Sence applies one policy across Facebook, Instagram, YouTube and TikTok, reads the comment in context instead of matching strings, and keeps every decision in one record. Platform tools also cannot tell you afterwards what was hidden or why.

Sence clients are saving hundreds of hours each month that would otherwise be spent manually moderating comment sections. The rest of the return sits on the other side of the ledger: clean comment sections keep reach and engagement up, and paid ads can perform better when harmful comments are cleared in real time.

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