Mention Market
#Definition
A Mention Market is a type of Prediction Market where contracts pay out based on whether a specific word or phrase is spoken or appears during a defined public event such as a speech, debate, earnings call, or TV appearance.
#Why It Matters in Prediction Markets
Mention markets turn language itself into a tradable event. Instead of betting on who wins an election or what a macro number will be, traders speculate on whether a speaker will say “recession,” “guidance,” “tariffs,” or another specified term.
Platforms focused on politics, finance, and crypto have experimented with mention markets tied to political debates, central bank press conferences, and corporate earnings calls. These markets often sit alongside more traditional event contracts and use the same mechanics as binary “Yes/No” markets.
For traders, mention markets matter because:
- They offer short-lived, high-volatility opportunities around scheduled events.
- They force traders to think about messaging and communication strategy, not just outcomes.
- They can generate granular signals about what topics markets expect a politician, central banker, or CEO to emphasize.
At the industry level, mention markets are also central to current debates about manipulation and regulatory risk. Critics argue that allowing the subject of the bet to control the outcome stresses the integrity of prediction markets and invites regulatory scrutiny.
#How It Works
#1. Market specification
A mention market starts with a clear event and keyword definition, for example:
- “Will the Fed Chair say ‘recession’ during the July press conference?”
- “Will Candidate X say ‘border wall’ at least once during the first presidential debate?”
- “Will Company Y’s CEO say ‘guidance’ on the Q3 earnings call?”
The contract description usually specifies:
- The speaker (e.g., a specific politician or executive).
- The event (debate, earnings call, press conference, TV interview).
- The exact word or phrase that counts as a mention.
- The time window (e.g., start to end of the call or broadcast).
- The data source for resolution (official transcript, closed captions, or specific media recording).
#2. Contract structure
Most mention markets are binary Yes/No contracts, a standard Binary Market format:
- A “Yes” share typically pays $1 if the word/phrase is mentioned and $0 if not.
- A “No” share pays $1 if the word is not mentioned and $0 if it is.
- Prices usually range from $0.01 to $0.99, representing an implied probability once fees and spreads are considered.
Some platforms also offer:
- Count-based contracts (e.g., “0 mentions,” “1–2 mentions,” “3+ mentions”), which behave like a small Categorical Market.
- Bundles of related keywords (e.g., contracts on whether any of a list of terms is said).
#3. Trading before and during the event
Mention markets usually open well before the event and may remain open while it is live:
- Before the event, prices reflect expectations formed from prior speeches, prepared remarks, leaks, and expert commentary.
- During the live event, traders respond in real time as topics shift and some words have already been used or clearly avoided.
- Trading typically takes place in an Order Book with bids and asks; liquidity and slippage can change quickly as the event progresses.
Because the underlying event is fast and discrete, spreads can widen sharply, and late trades may execute at unfavorable prices if the platform or video feed lags.
#4. Resolution and payout
After the event, the platform or designated resolver:
- Obtains the agreed transcript or recording.
- Checks whether the specified word or phrase appears, according to the rules.
- Announces a Yes or No outcome.
- Settles contracts: winning shares pay their full $1 (or platform-specific unit), losing shares go to $0.
For a trader who buys “Yes” at price ( p ), the basic Expected Value (EV) of the position is:
[ EV = q \times 1 + (1 - q) \times 0 - p = q - p ]
where:
- ( q ) = the trader’s own probability the word will be mentioned.
- ( p ) = the price paid per share.
If ( q > p ), the trade has positive expected value before fees.
#5. Example numbers
Suppose:
- The “Yes” share trades at $0.40.
- A trader believes there is a 55% chance the word will be mentioned.
Then ( EV = 0.55 - 0.40 = 0.15 ), or +$0.15 per share in expected value, before transaction costs. A trader might size this using something like the Kelly Criterion to avoid overbetting on a single event.
#Examples
#Political debate mention market (Polymarket-style)
On a crypto-native platform like Polymarket, a mention market might ask whether a presidential candidate will say “inflation” during a televised debate.
- Traders who think the candidate is almost certain to hit talking points on prices and cost of living would buy “Yes.”
- Traders who expect a focus on foreign policy or culture-war topics might favor “No.”
- As the debate unfolds and the candidate avoids the term, “Yes” prices may drift down, then spike if the word finally appears mid-sentence.
#Central bank press conference
A macro-oriented platform might list contracts on whether a central bank chair will say “recession,” “soft landing,” or “higher for longer” at a scheduled press conference.
- Economists and macro traders use their knowledge of previous remarks, prepared statements, and political constraints.
- The market aggregates views on how blunt or cautious the central bank’s messaging is likely to be.
- A surprise mention (or non-mention) can shift both mention-market prices and broader macro event markets in parallel.
#Corporate earnings call keyword market (Kalshi-style)
On a regulated event-contract venue like Kalshi, mention markets have been used around earnings calls, such as whether a CEO will say terms like “guidance,” “cost-cutting,” or “restructuring.”
- Traders with insight into the company’s communication strategy or recent news may have an edge.
- The presence or absence of a keyword can signal how management intends to frame results to investors.
- Longer term, aggregated prices across many calls can reveal trends in corporate language.
#Pop culture or entertainment appearance
Some mention markets have focused on celebrities in late-night talk show appearances — for example, whether a pop star will say “wedding” during a specific interview.
These markets blend fan knowledge with media savvy. Traders who closely follow a celebrity’s public narrative, current rumors, or promotional cycles might anticipate which topics are likely to be mentioned on-air.
#Risks, Pitfalls, and Misunderstandings
#1. Outcome control and manipulation
Unlike a sports score or macroeconomic statistic, the outcome of a mention market often sits directly in the hands of one person: the speaker. Critics argue that this makes mention markets especially gameable, especially if the speaker knows about the market or has incentives to favor certain traders.
Recent controversies have highlighted cases where executives or public figures appeared to intentionally say a list of buzzwords that were the subject of active mention markets, raising questions about fairness and integrity.
#2. Latency and location advantages
Mention markets on live events can reward traders with faster information access:
- Traders physically present in the room may hear the word before viewers on a streaming feed.
- Differences in broadcast latency and platform execution speed can make it easier for some participants to trade on an outcome before others can react.
For smaller traders relying on consumer video streams, this can create an uneven playing field.
#3. Ambiguous wording and resolution disputes
Common sources of confusion include:
- Plural vs. singular (“wedding” vs. “weddings”).
- Quoted vs. original speech (does reading someone else’s quote count?).
- Synonyms or partial matches (“recessionary” vs. “recession”).
- Off-air or off-mic remarks — usually excluded unless explicitly covered.
If the contract text or rulebook does not clearly define these edge cases, traders may be surprised by how the market resolves and feel “rugged” even when the platform follows its written rules.
#4. Regulatory and reputational risk
Regulators such as the U.S. CFTC pay special attention to event contracts that can be easily manipulated or that appear to incentivize staged behavior. Commentators have argued that mention markets sit close to this line, since the subject of the bet can arbitrarily decide the outcome.
Platforms concerned about licensing or public perception may restrict or discontinue mention markets if they are seen as too gameable or controversial.
#5. Overconfidence in “script reading”
Many traders assume that reading prior speeches or analyzing messaging patterns guarantees an edge. In reality:
- Speakers may improvise or deviate from prepared scripts.
- Producers, moderators, or lawyers can change talking points at the last minute.
- Risk–reward profiles can be poor if “Yes” trades at very high prices because “everyone knows” the word will be used.
#Practical Tips for Traders
- Read the rules carefully. Before trading, understand exactly what counts as a mention, what language or variant is required, and what transcript or feed will be used for resolution.
- Study historical communication. Review past debates, press conferences, or earnings calls to see how often the speaker used similar terms and in what contexts.
- Account for latency. If you are not on the fastest possible feed, treat in-event trading as higher risk and size smaller; assume others may hear or act before you.
- Check liquidity and spreads. Thin markets magnify slippage, especially during the event itself, so use limit orders rather than market orders when possible.
- Think in probabilities and EV. Convert prices to implied probabilities, compare them to your own estimate, and trade only when the edge in Expected Value (EV) justifies the risk.
- Manage position size. Use a disciplined framework such as a fraction of the Kelly Criterion to avoid overbetting a single speech or call.
- Watch correlated information. News about policy shifts, company guidance, or media themes can change the likelihood that certain words will be used, even before the event starts.
#Related Terms
- Prediction Market
- Binary Market
- Categorical Market
- Event Contract
- Polymarket
- Kalshi
- Order Book
- Market Resolution
#FAQ
#What is a Mention Market in prediction trading?
A Mention Market is a contract where the payoff depends on whether a specific word or phrase is used during a clearly defined event, such as a debate, press conference, or earnings call. Traders buy “Yes” or “No” shares on the word being mentioned, and the market settles based on an agreed transcript or recording.
#How do Mention Markets work on platforms like Polymarket and Kalshi?
On platforms similar to Polymarket and Kalshi, mention markets typically function as binary Event Contracts. The “Yes” side pays out if the keyword appears in the specified event, and “No” pays if it does not. Traders can enter and exit positions before or during the event, with prices reflecting the crowd’s evolving belief about what the speaker will say.
#Are Mention Markets especially risky or easy to manipulate?
Mention markets carry particular manipulation risks because the outcome is directly controlled by the speaker, who may be aware of the market. In some high-profile cases, executives or politicians have appeared to deliberately say a string of market-relevant buzzwords, prompting critics to argue that these contracts are unusually “gameable.” For small traders, that means treating them as higher-risk and sizing positions conservatively.
#What happens if the word is misheard or mis-transcribed?
Resolution usually relies on a specified official transcript or recording, not on individual traders’ interpretation. If automated captions or unofficial transcripts conflict with the designated source, the platform will follow the source named in the rules. Ambiguous cases — such as partial words, overlapping audio, or accents — underline why precise contract language and well-defined resolution policies are crucial in mention markets.
#How do Mention Markets relate to standard prediction markets?
Mention markets are a specialized subcategory of Prediction Market focused on communication rather than outcomes like vote shares, prices, or economic indicators. They use the same core mechanics — binary contracts, implied probabilities, liquidity, and price discovery — but their payoffs hinge on discrete language events. That makes them useful for understanding expectations about messaging, but also exposes them to unique concerns about manipulation and fairness.