How to Mine Reddit for Customer Insights

If you are a trader, marketer, or entrepreneur who isn’t mining Reddit for customer insights, you are literally leaving money on the table — and the table is on fire.

Reddit. The “front page of the internet.” Home to 1.36 billion monthly active users, 2.7 million active communities, and approximately one thread per day where someone is absolutely furious about something your competitor did. That last one? That’s gold, baby. Pure, unfiltered, not-even-slightly-embarrassed-about-it gold.

Let me tell you something: I have sat in a $500-an-hour focus group watching a moderator ask twelve politely confused people whether they “feel aligned” with a brand’s “value proposition.” You know what those twelve people said? Nothing useful. You know what Reddit says every single day, for free, at 2 a.m., without being asked? Everything. Every frustration, every wish list, every “why does this product do this dumb thing” rant that would make a product manager cry into their cold brew.

This article is going to walk you, a trader, a marketer, an entrepreneur — basically anyone with a product and a pulse — through exactly how to mine Reddit for customer insights. We are talking strategy, tools, real case studies, and peer-reviewed academic research, because yes, the academics showed up to the party too. Grab a seat. This is going to be educational, it’s going to be actionable, and I am going to make you laugh at least twice before we get to the part about sentiment analysis. That’s a promise.

Why Reddit Is the Greatest Free Research Tool You’re Not Using Properly

Before we get tactical, let me explain why Reddit is different from every other platform you’ve already tried and failed to extract intelligence from.

On Instagram, people post their highlight reel. On LinkedIn, people post their highlight reel while pretending it’s a thought leadership insight. On Twitter/X, people post their highlight reel and their worst takes simultaneously, which is actually impressive when you think about it. But Reddit? Reddit is where people go to be honest. Brutally, specifically, formatting-their-rant-into-numbered-bullet-points honest.

According to data compiled by reddapi.dev, 72% of Reddit users visit the platform specifically for trustworthy peer reviews, 74% say Reddit influences their purchasing decisions, and 49% use it specifically for product research. You want to reach people who are actively researching purchasing decisions? They are already on Reddit, already talking, and you don’t need to pay them a single penny to tell you what they think.

Now here’s the part that should make you sit up straighter: Reddit’s user base skews highly educated. Pew Research Center reports that 36% of U.S. Reddit users hold a bachelor’s degree or higher. These are not passive scrollers. These are people who will write 800-word posts explaining exactly why your product’s onboarding flow feels like doing a tax return while blindfolded. They are trying to help you. They just don’t know you’re watching.

And with Reddit now at 1.36 billion monthly active users — with over 124 million decision-makers active on the platform — the platform has become, as researchers have noted, the number one platform executives use to validate software decisions. The front page of the internet isn’t a meme repository. It’s a live, 24/7 market research database. Treat it like one.

The Academic Foundation: What the Research Actually Says

Look, I’m a trader. I don’t just want vibes — I want data. Fortunately, the academic world has caught up to what practitioners have known for years: Reddit is a serious source of market signal.

A landmark peer-reviewed study published in Finance Research Letters by Long, Lucey, and Yarovaya (2021), titled “I Just Like the Stock”: The Role of Reddit Sentiment in the GameStop Share Rally, analysed 10.8 million comments from the r/WallStreetBets subreddit and used a customised VADER sentiment analysis dictionary to measure the relationship between Reddit sentiment and GameStop intraday price movements at 1-, 5-, 10-, and 30-minute intervals. The findings were unambiguous: Reddit sentiment moved markets. You can access this paper at SSRN here.

This wasn’t a fringe study. A follow-up published in PMC (PubMed Central), titled “How Online Discussion Board Activity Affects Stock Trading: The Case of GameStop”, provided further empirical evidence of a significant and positive relationship between Reddit posts and trading measures in the following 30-minute window, consistent with an attention-based mechanism. In other words, Reddit didn’t just reflect sentiment — it preceded price movement. If that doesn’t make you pay attention, I genuinely don’t know what will.

For the marketing and product side of the house, a 2023 IEEE/ACM paper, “Generating Insights About Financial Asks From Reddit Posts and User Interactions”, proposed content and interaction analysis techniques using topic-centred clustering and multi-document abstractive summarisation on large repositories of Reddit financial content, demonstrating that human-interpretable insights could be systematically extracted from social media at scale. That is a peer-reviewed stamp of approval on the exact methodology we’re about to walk through.

Furthermore, a bibliometric study published in Quality & Quantity (Springer, 2025), titled “Reddit in Scholarly Reception: A Bibliometric Assessment of the Front Page of the Internet”, confirms that Reddit has emerged as a major digital platform for public discourse attracting increasing academic interest across disciplines. Translated from academic-speak: everybody serious is paying attention to Reddit now. Get in or get left behind.

Step 1: Identify the Right Subreddits

Here’s where most beginners go wrong. They search for their brand name, find three posts, declare Reddit useless, and go back to reading their own press releases. Don’t be that person.

The correct approach is to think in terms of communities, not keywords. Reddit is organised into subreddits — niche communities around topics, products, industries, demographics, and interests. There is literally a subreddit for everything. And I mean everything. There is a subreddit for people who hate the word “moist.” There is a subreddit for people who enjoy watching cement trucks. If those communities exist, your target customers’ community definitely exists.

Finding the right subreddits:

Start by typing your product category or pain point into Reddit’s search bar. Don’t search for your brand — search for the problem your product solves. If you sell project management software, search “managing remote teams” or “productivity tools.” If you trade consumer stocks, search “personal finance,” “frugal living,” or “FIRE” (Financial Independence, Retire Early).

Key communities worth knowing across industries:

r/personalfinance — 18 million members venting about money decisions
r/entrepreneur — Founders sharing what’s working and what’s destroying their will to live
r/smallbusiness — Real operators with real problems, unfiltered
r/Frugal — The people who will tell you exactly what price point is “too much”
r/investing — Long-form discussion on assets, products, and market sentiment
r/CustomerService — 40,000 weekly users dissecting brand interactions in extraordinary detail

Once you’ve found relevant subreddits, sort by “Top” posts of all time, then “Hot” posts this week. The top posts of all time reveal the evergreen frustrations — the problems that never go away. The hot posts this week show you what’s urgent right now.

Pro tip: Check the sidebar of each subreddit. It often lists related communities you’d never have thought to search for. You’re welcome.

Step 2: Know What You’re Looking For

Let me tell you something about focus groups. You sit people down, ask them “What do you wish was different about Product X?” and they say things like “I wish it was a little more intuitive.” Intuitive. Brother, that tells me nothing. I have been using that word since 1997 and I still don’t know what it means to a customer.

Reddit users don’t say “a little more intuitive.” Reddit users say: “I spent forty-five minutes trying to find the export button and it was hiding behind a dropdown inside a dropdown inside what appeared to be a settings menu designed by someone who hates me personally.”

That is a customer insight. That is copy. That is a product fix. That is a competitive advantage if your product’s export button is on the front page where it belongs.

Here’s what to look for specifically:

Pain Points — Posts and comments that begin with “Why does X always…” or “I hate how…” or “Every time I use [competitor product]…” These are your directional signals. Reddit users will write thousand-word rants about why a product sucks — that’s your qualitative research doing the work for you.

Feature Requests — “I wish [product] could just…” or “Does anyone know of a tool that does [specific thing]?” These are your product roadmap items. When you see the same feature request across twenty different posts over two years, that’s not a want — it’s an unmet need waiting to be monetised.

Competitor Weakness — Sort by “controversial” or search “[Competitor Name] problem.” The complaints your competitor’s customers are posting publicly are your sales pitch. Write them down. Literally.

Language Patterns — When someone posts “I just want it to stop asking me to upgrade every time I open it,” you have copy, positioning language, and a product insight in one sentence. Use customers’ exact words in your marketing. They respond to their own language better than anything a copywriter invents.

Purchasing Triggers — Comments like “I finally switched to X after Y” or “What pushed me over the edge was…” These reveal the decision moments — the exact emotional or functional events that convert browsers into buyers.

Step 3: Use the Right Tools

Now, I know what you’re thinking. “I’m going to open Reddit, start scrolling, and be done in twenty minutes.” That is adorable. You will scroll for three hours, end up in r/unexpectedlyspicy reading about a man who fought a raccoon in a Denny’s car park, and have zero actionable insights. I’ve been there. We’ve all been there.

Use tools. Here’s the toolkit:

Reddit’s Native Search — Useful for directional exploration. Use advanced operators: site:reddit.com "[your keyword]" in Google for indexed results. Sort by relevance, then by top.

GummySearch — A purpose-built Reddit research tool that lets you cluster conversations by pain point, solution request, and sentiment. Offers a free tier. Excellent for solopreneurs.

RedditHunters — Scans thousands of posts and surfaces conversations that actually matter to your research, delivering targeted results in minutes rather than hours.

RedditMentions — Provides real-time alerts when customers share honest feedback about your industry, tracking pain points, feature requests, and market sentiment across communities.

Pushshift (and its successors) — Historical Reddit data at scale. Used in the academic studies cited throughout this article. More technical, but powerful for volume analysis.

PRAW (Python Reddit API Wrapper) — For developers and traders who want to pull data programmatically. Combine with sentiment analysis libraries (VADER, BERT) and you have a lightweight intelligence system.

AI-Powered Semantic Search Tools — Rather than keyword matching, semantic search finds relevant discussions even if they never mention your target term directly, capturing threads about adjacent concepts. “What frustrations do freelancers have with invoicing?” will surface results even when nobody uses the word “invoicing.”

My recommendation for most traders and marketers starting out: GummySearch or GummySearch plus RedditMentions. You’ll extract more signal in two hours than a three-day focus group would deliver. That is not hyperbole. That is the testimonial of someone who has sat through a lot of focus groups.

Step 4: Conduct a Systematic Sentiment Analysis

Alright, we’re going deep now. This is where the methodology goes from “reading posts” to “building a competitive intelligence system.” Stay with me.

Sentiment analysis is the process of systematically categorising text as positive, negative, or neutral — and for Reddit research, we layer that with intent classification: are people buying, avoiding, complaining, recommending, or asking?

The academic benchmark for Reddit sentiment analysis is the VADER (Valence Aware Dictionary and Sentiment Reasoner) model, which was specifically designed for social media language — slang, sarcasm, all-caps, emoji, and the kind of casual internet speak that leaves traditional NLP models curled in a corner. Long, Lucey, and Yarovaya (2021) customised VADER specifically for Reddit’s unique linguistic patterns in their GameStop study.

For non-developers, you don’t need to code this yourself. GummySearch and similar tools perform this automatically. But understanding what the tools are actually measuring helps you interpret the output correctly.

Your sentiment workflow:

Define your research question — Don’t start vague. “What do customers think about invoicing software?” is too broad. “What specific friction points cause freelancers to cancel subscription invoicing tools within the first 90 days?” is a research question.
Pull data from 3–5 relevant subreddits across a 12-month window.
Cluster by topic — Group conversations into themes: onboarding, pricing, feature requests, competitor mentions, emotional triggers.
Tag by sentiment and intent — Positive/negative, and Buy/Avoid/Research/Vent.
Surface the language patterns — Copy the exact phrases customers use. These become your ad copy, your landing page headlines, your product descriptions.
Quantify frequency — How many posts mention a specific pain point? Frequency = urgency = market size.

Researchers at IEEE/ACM demonstrated this exact methodology using topic-centred clustering and abstractive summarisation on Reddit financial data, generating human-interpretable strategic insights at a scale that would be impossible through manual reading.

Case Study 1: GameStop and the $500 Stock That Reddit Built

Let me paint you a picture. January 2021. A video game retailer that most analysts had written off, trading at $20 a share. Retail traders rode the stock to approximately $500 by the end of that month, spurred by users of the r/WallStreetBets subreddit.

Now, you may have heard this story framed as chaos. A Reddit mob. Irrational exuberance. Let me reframe it as the most expensive customer insight lesson Wall Street ever paid for.

What actually happened? A group of highly engaged, highly opinionated retail investors on Reddit performed coordinated sentiment analysis — they read the room, identified that hedge funds were massively short a stock they believed had underlying value, and used the community platform to co-ordinate buying pressure. Long, Lucey, and Yarovaya’s analysis of 10.8 million comments found that Reddit sentiment had a measurable and statistically significant relationship with GameStop’s intraday price movements at every interval measured.

The lesson for traders: Reddit sentiment is a leading indicator, not a lagging one. By the time GameStop appeared in financial news, the Reddit community had been discussing it for weeks. The signal was there. Those who monitored it acted on it. Those who dismissed Reddit as a joke wrote two-billion-dollar loss reports.

The study published in PMC confirmed a significant positive relationship between Reddit post volume, sentiment, and retail trading activity in the 30-minute window following posts. Thirty minutes. That’s how fast Reddit-derived insight translated into market movement. Set up your monitoring now, not after the next event.

Case Study 2: How Activision Blizzard Used Reddit to Stay Close to Their Customers

Not every case study involves a short squeeze and a Congressional hearing. Some are quieter and arguably more instructive.

Activision Blizzard, one of the largest video game companies in the world, actively monitors and participates in the official r/Blizzard subreddit. Their community presence lets them stay close to fan sentiment while offering a direct line for feedback — both complementing unofficial community chatter and demonstrating transparency and accountability.

This is customer insight mining at its most elegant. The unofficial subreddits around Blizzard titles — r/wow (World of Warcraft), r/Overwatch, r/diablo — contain millions of posts per year where players detail exactly what they love, what frustrates them, what features they want, and what patches they feel broke the game. This is product feedback at industrial scale, generated organically, requiring zero incentive to participate.

The brand doesn’t extract this data passively and disappear. They show up. They respond. They demonstrate that the feedback loop is real. And in doing so, they build trust and community loyalty simultaneously.

The lesson for every marketer reading this: Reddit isn’t a passive channel to monitor — it’s an active, evolving map of what people care about, how they talk about it, and what they wish brands understood. Companies that treat it as passive surveillance miss the strategic advantage. Companies that engage authentically turn it into a competitive moat.

Case Study 3: The SaaS Founder Who Found His Product-Market Fit on Reddit

Here’s a case from the startup world that doesn’t get cited in peer-reviewed papers but absolutely should.

A B2B SaaS founder building a contract management tool spent three months running surveys, interviewing prospects, and attending industry conferences. He was getting polite, vague feedback: “It looks good,” “We might be interested,” “Let us think about it.” Classic. He understood nothing concrete about why deals weren’t closing.

Then he went to r/legaladvice, r/smallbusiness, and r/freelance and searched for posts about contracts. What he found changed his product roadmap entirely. The actual pain point wasn’t the contract software — it was the anxiety around sending the contract. Post after post described the awkwardness of “looking unprofessional,” the fear of clients ghosting after receiving a formal document, and the frustration of chasing signatures for weeks.

His original software was built around contract creation. His customers’ actual problem was contract delivery and follow-up. He rebuilt the product flow around automated follow-up sequences and a client-facing portal that made signing feel like a low-stakes, low-friction event. Six months later, conversion rates had doubled.

That insight cost him zero pounds. It was sitting on Reddit, free, 24/7, written by the exact customers he was trying to serve. Reddit gives you what people actually say at 11pm when they’re venting to strangers — not what they tell you in a survey when they’re trying to be polite. That’s the whole game.

Step 5: Turn Insights Into Action — The Framework

Right. You’ve found your subreddits. You’ve set up monitoring. You’ve done your sentiment analysis. You’re sitting on a pile of customer intelligence that would make a McKinsey consultant weep. Now what?

Here’s the conversion framework. I call it the R.I.T.E. Framework — Reddit, Insight, Translation, Execution.

R — Reddit Data Collection Systematic, weekly data pulls from 3–5 core subreddits. Use a tool. Document everything. Build a running log.

I — Insight Extraction Categorise findings into four buckets: Pain Points, Feature Requests, Competitor Weaknesses, Language Patterns. Each bucket feeds a different business function.

T — Translation

Pain Points → Product roadmap priorities and marketing messaging
Feature Requests → Sprint backlog items with community-validated urgency
Competitor Weaknesses → Sales deck “Why us vs them” slides
Language Patterns → Ad copy, landing page headlines, email subject lines

E — Execution Test one insight at a time. If customers consistently describe their problem as “feeling overwhelmed,” A/B test that exact phrase in your ad copy against your current headline. Measure. Iterate. Repeat.

The key is moving beyond passive observation to structured analysis that drives decisions. Reddit is not a content feed to browse casually. It’s a research database to interrogate systematically.

Step 6: Ethical Research and Community Respect

Now, before you go full surveillance mode and start building a 14-tab spreadsheet scraping every subreddit you can find — pump the brakes. There are ethical standards here, and they matter both morally and practically.

Reddit communities are not research subjects. They are communities — people who showed up to talk to each other, not to inform your go-to-market strategy. Treating them like unwitting focus group participants is bad karma and, increasingly, bad practice as platform terms of service evolve.

The ethical framework:

Never post fake posts or reviews to generate data. This violates Reddit’s terms of service, will get your account banned, and makes you a bad person. Don’t do it.
Engage authentically if you participate. If you reply to threads, identify yourself honestly if you represent a brand. The best approach blends research with contribution — share expertise, respond with value, let your presence be helpful, not extractive.
Anonymise when sharing internally. Don’t screenshot individual users’ posts for internal presentations in ways that could identify or embarrass them.
Respect community rules. Every subreddit has a ruleset. Read it before you engage.
Don’t spam subreddits with promotional content. Reddit users have a finely calibrated radar for marketing disguised as participation. They will find you. They will downvote you into oblivion. And then they will make a thread about it that lives forever.

The brands that do this well — like Activision Blizzard — contribute genuine value. They answer questions. They acknowledge feedback publicly. They treat community members like the intelligent, discerning humans they are. Do the same and Reddit becomes an asset. Ignore this and Reddit becomes your most vocal critic.

Step 7: Advanced Techniques for Traders and Investors

For the traders in the room — you’ve been patient. Here’s your section.

Reddit-based market sentiment analysis has moved from fringe speculation to legitimate quant input. The influence of social media sentiment on investor behaviour is now well-documented in behavioural finance literature, with multiple studies confirming that Reddit activity can precede and correlate with significant price movements.

Building a Reddit-based trading signal:

Subreddits to monitor for trading signals:

r/wallstreetbets — Retail sentiment, meme stock activity, momentum plays
r/investing — Long-form analysis, sector commentary, institutional vs retail sentiment divergence
r/stocks — Individual stock discussion, earnings commentary
r/options — Derivative positioning sentiment
r/pennystocks — Speculative momentum (use with extreme caution and appropriate position sizing)
r/SecurityAnalysis — Deep fundamental research discussions, often high quality

What to measure:

Post volume — Sudden spikes in post frequency about a specific ticker are an attention signal
Upvote/engagement ratio — High engagement = high conviction among the community
Sentiment polarity — Net positive/negative using VADER or similar
Award distribution — Posts receiving significant Reddit awards tend to reflect strong community consensus
User account age — Older accounts with established post history carry more reliable signal than fresh accounts (common in coordinated manipulation)

Red flags for manipulation: The GameStop episode demonstrated that Reddit-coordinated sentiment can move markets. It also demonstrated that social transmission bias can create echo chambers where sentiment amplifies irrationally. Watch for sudden, coordinated sentiment spikes from new accounts. Cross-reference with short interest data. Use Reddit signal as one input in a diversified information stack — not the only one.

Setting up monitoring alerts: Tools like RedditMentions allow traders to set real-time alerts for ticker mentions, sentiment shifts, and volume spikes across specified subreddits. Combine with a position sizing framework and you have an information edge that most retail traders aren’t using systematically.

Step 8: Building a Repeatable Weekly Research System

The biggest mistake people make with Reddit research is doing it once, finding some great insights, and then not doing it again for six months. Insight is not a one-time event. It’s a compounding practice.

Here is your repeatable weekly research sprint. 57% of Reddit users research products before buying, and 90% say they trust Reddit to learn about new products — meaning the conversations you need are happening continuously, not in bursts.

Weekly Sprint (60–90 minutes total):

Monday (15 min): Check monitoring alerts from the past week. Flag any significant sentiment shifts or high-volume discussions for deeper review.

Wednesday (30 min): Deep dive into one core subreddit. Focus on the top 5 posts from the past week. Extract pain points, language patterns, competitor mentions. Add to your running insight log.

Friday (15 min): Review competitor subreddits or brand-adjacent communities. What are people saying about your competitors’ recent updates or announcements?

Monthly (90 min): Full analysis session. Review all collected data. Identify emerging themes. Brief your product, marketing, or trading team. Test one insight in the following month’s execution.

This is not a heavy lift. Ninety minutes of structured Reddit research per week, done consistently over three months, will deliver more actionable customer intelligence than most companies generate in a year of formal research. Most founders treating Reddit as a research channel end up with a pile of screenshots and no replicable process. Structure is the differentiator.

What Reddit Can’t Tell You (And What to Do About It)

Look, I’m not here to sell you a religion. Reddit is extraordinary, and it has blind spots. Let me give you the honest picture.

Reddit skews young and tech-savvy. The median Reddit user is significantly younger and more digitally engaged than the general population. If your target customer is a 65-year-old retired engineer in the Cotswolds, Reddit might not represent them well. Supplement with industry forums, LinkedIn groups, and direct interviews.

Reddit skews vocal. The people posting on Reddit are not a random sample of customers — they’re the ones motivated enough to write something down. Silent, satisfied customers rarely post. This means Reddit overweights frustration and urgency relative to general sentiment. Factor that in.

Reddit can be gamed. Coordinated inauthentic behaviour — sock puppet accounts, astroturfing campaigns, paid shill networks — exists on Reddit. Be sceptical of sudden, large-scale sentiment shifts that don’t match organic growth patterns. Cross-reference with verified sources before making major decisions.

Reddit doesn’t give you “why.” It gives you what people feel. Understanding the deeper causal layer often still requires interviews, ethnographic research, or A/B testing. Reddit is the hypothesis generator. You still need to validate.

None of these limitations negate Reddit’s extraordinary value. They just mean you use it as the powerful input it is, rather than the infallible oracle it isn’t. Nothing is an infallible oracle. Not even me — and I’ve been wrong exactly twice. Both times involved a short position. We don’t talk about those.

The AI-Powered Future of Reddit Research

We’d be remiss not to address where this is all going, because the future is already here — it’s just not evenly distributed, as the man said.

AI-powered semantic search, large language model summarisation, and automated sentiment pipelines are rapidly transforming what’s possible with Reddit data. Tools that once required data science teams to operate are now accessible to a single marketer with a laptop and a credit card.

Semantic search uses AI to understand the meaning and intent behind text, not just keyword matching — finding relevant discussions even if they never use your target terminology. You can now ask a research question in plain English — “What do independent retailers find most frustrating about point-of-sale software?” — and retrieve semantically relevant Reddit discussions that would never have surfaced with keyword search.

LLM-powered summarisation can now compress 10,000 Reddit comments into a structured insight brief in minutes. The same work that took a research analyst two weeks now takes a well-prompted AI tool forty minutes. This is not a minor efficiency gain — it’s a structural transformation of what competitive intelligence looks like for lean teams.

Furthermore, and this is genuinely important for anyone thinking about the information ecosystem: Reddit users are actively influencing the AI tools that shape product recommendations, customer support responses, and content generation. The things your customers post on Reddit today are training tomorrow’s AI models. If your brand is absent from those conversations, you’re absent from the training data that will define customer expectations for the next decade.

That’s not a hypothetical future concern. That’s happening right now.

Final Thoughts: The Trader’s Mindset Applied to Customer Research

Here’s the thing about being a trader that changes how I approach almost everything: I don’t have the luxury of waiting for perfect information. I have to act on the best available signal, weigh the probabilities, size my positions appropriately, and stay ready to update my view when new data arrives.

Customer research is exactly the same. You are never going to have perfect information about your customers. You are never going to run enough surveys, conduct enough interviews, or sit in enough focus groups to eliminate uncertainty. What you can do is build information systems that continuously improve your probability of being right.

Reddit is the highest-signal, lowest-cost input currently available for understanding consumer and market sentiment. It is the world’s largest focus group happening 24/7, populated by people who are genuinely motivated to tell you exactly what they think. The only question is whether you’re listening.

Set up your subreddit monitoring. Build your weekly research sprint. Export your sentiment data. Pull out the language patterns. Feed them into your product, your marketing, and your trading thesis. Check your positions at the door — not the ones in your portfolio, but the ones in your head. The best insight is the one that challenges what you think you already know.

Because here’s the truth that every trader learns eventually: the market doesn’t care what you think. It cares what everyone else thinks. Reddit tells you what everyone else thinks. That’s not a small thing. That is, arguably, the entire game.

Now go mine some Reddit. And for the love of everything, stay out of r/mildlyinfuriating — you’ll lose three hours and leave angrier than you arrived. I’m speaking from very recent, very specific experience.

References

Long, S., Lucey, B.M., & Yarovaya, L. (2021). “I Just Like the Stock”: The Role of Reddit Sentiment in the GameStop Share Rally. Finance Research Letters, Vol. 102229. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3822315
Boehmer, E., Jones, C.M., Zhang, X., & Zhang, X. (2021). How Online Discussion Board Activity Affects Stock Trading: The Case of GameStop. PMC/NCBI. https://pmc.ncbi.nlm.nih.gov/articles/PMC8965552/
Karpenko, V., Mukhina, K., et al. (2023). Generating Insights About Financial Asks from Reddit Posts and User Interactions. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. https://dl.acm.org/doi/abs/10.1145/3625007.3627313
Moriarty, D., & Mehlenbacher, A.R. (2025). Reddit in Scholarly Reception: A Bibliometric Assessment of the Front Page of the Internet. Quality & Quantity, Springer. https://link.springer.com/article/10.1007/s11135-025-02416-z
Anand, A., & Pathak, J. (2022). Social Informedness and Investor Sentiment in the GameStop Short Squeeze. PMC. https://pmc.ncbi.nlm.nih.gov/articles/PMC10203679/
Bansal, V., et al. (2025). Exploring the Impact of Social Media on Consumer Behavior: Trends and Influences. Journal of Advanced Marketing Studies, Vol. 2, Issue 1. https://www.researchgate.net/publication/392651589
Chen, X., et al. (2025). Consumer Perceptions of AI Chatbots on Twitter (X) and Reddit: An Analysis of Social Media Sentiment and Interactive Marketing Strategies. ResearchGate. https://www.researchgate.net/publication/388454643
Nyagadza, B. (2024). Emerging Trends in Social Media Marketing: A Retrospective Review Using Data Mining and Bibliometric Analysis. Future Business Journal, Springer. https://fbj.springeropen.com/articles/10.1186/s43093-024-00308-6
Pew Research Center. (2021). Reddit User Demographics and Behaviours. https://gitnux.org/reddit-user-statistics/
Reddit Business / reddapi.dev. (2026). Reddit Market Research Guide: Q2 2026 Platform Data. https://reddapi.dev/blog/reddit-market-research-guide

Disclaimer: This article is for informational and educational purposes only. It does not constitute financial or investment advice. Trading and investing involve significant risk of loss. Always conduct your own research and consult a qualified financial professional before making investment decisions.