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Online earning survey sites for beginners. 1. Prolific 2. PureProfile 3. User Interviews 4. FORTUNABLE 5. AttaPoll 6. Prime Opinion 7. Respondent 8. CloudResearch Connect 9. MobLab 10. GrapeData 11. EarnHaus Some may pay up to $20/hour, depending on the platform and the study.
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If you've got a laptop and a decent internet connection, that's honestly all you need to start making money online. Here are some platforms worth checking out: Prolific – great for paid research studies, very straightforward and pays fairly. PureProfile – answer surveys and get rewarded, simple and beginner friendly. User Interviews – connects you with companies that pay well for your opinions and feedback. Fortunable – a solid platform for finding online earning opportunities and surveys. Attapoll – easy survey app you can use on your phone or laptop, cashout via PayPal. PrimeOpinion – clean survey platform that pays you for sharing your thoughts on various topics. Respondent – higher paying research studies, some go up to $100 per session. CloudResearch – academic and market research studies, reliable and consistent. MobLab – participate in interactive economic research games and get paid for it. GrapeData – focuses on business professionals, pays for surveys and research participation. EarnHaus – watch videos, take surveys and complete tasks to earn cash and gift cards. None of these require experience or any upfront investment. You just sign up, complete tasks or studies, and get paid. Some pay more than others, so it helps to be active on a few at the same time to maximize what you earn.
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One thing people outside Africa don’t realize is how privileged they are online. They have access to dozens of platforms that literally pay them for things they’d already be doing on their laptop and phone anyway. Examples: UserTesting Userlytics Trymata IntelliZoom PlaytestCloud TestingTime Outlier DataAnnotation Tech TELUS Digital Appen OneForma Remotasks Clickworker Toloka Amazon Mechanical Turk Microworkers Prolific User Interviews Respondent dscout CloudResearch Connect Rare Patient Voice Fieldwork FocusGroup .com Recruit and Field L&E Opinio UserCrowd Loop11 Ferpection Enroll App Wyzant Preply Cambly Studypool Varsity Tutors Amazon Associates Impact .com PartnerStack TikTok Creator Rewards YouTube Partner Program Twitch Affiliate Program Medium Partner Program Substack Shutterstock Contributor
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You can go from $0 to $1M in 3–6 months. Lock in.
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Online earning survey sites for beginners. 1. Prolific 2. PureProfile 3. User Interviews 4. FORTUNABLE 5. AttaPoll 6. Prime Opinion 7. Respondent 8. CloudResearch Connect 9. MobLab 10. GrapeData 11. EarnHaus Some may pay up to $20/hour, depending on the platform and the study.
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Got a laptop internet? Get paid just for sharing your opinions 💻 🔬 Prolific — $8–$12/hr 📋 PureProfile — $1–$5/survey 🎙️ User Interviews — $50–$150/hr 💰 Fortunable — varies 📊 Attapoll — $0.10–$2/survey 🧠 PrimeOpinion — points → cash 🔎 Respondent — $50–$400/study ☁️ CloudResearch — $8–$15/hr 🎮 MobLab — per session 🍇 GrapeData — $20–$100 /study 💸 EarnHaus — $10 min cashout
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2. CloudResearch Connect connect.cloudresearch.com/ Popular for research studies and short online tasks with decent payouts 3. Paid View Point paidviewpoint.com/ One of the most trusted survey platforms with consistent payouts and low disqualification rates 4. Respondent respondent.io/ Best for professionals and students. Pays highly for market research and interviews. 5. LifePoints lifepointspanel.com/ Earn points through surveys that can be redeemed via PayPal or gift cards. 6 . SwagBucks swagbucks.com/ Earn points by answering surveys, watching videos, shopping online, and more. Great for beginners.
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Americans systematically overestimate how many social media users contribute to harmful online behavior | Vladimir Hedrih, PsyPost A set of three studies in the U.S. revealed that Americans believe that 43% of Reddit users post severely toxic comments, while 47% of Facebook users share false news online. However, in reality, such content is produced by only 3-8.5% of users. The paper was published in PNAS Nexus. Social media contains many posts sharing misleading or completely untrue content. There are also users who post toxic comments to other people’s posts. These are comments that are insulting, hateful, or aggressive. These two types of behavior—sharing false news and posting toxic comments—are an important issue because they hurt real people, damage reputations, and create fear or anger. False news can spread very quickly because people often share dramatic information before checking whether it is true. Toxic comments can make online spaces hostile and discourage reasonable discussion. This behavior can also deepen conflicts between groups, because people begin to see others as enemies rather than as human beings. What is interesting is that studies indicate that both of these types of behaviors are produced by a very small minority of users who are highly active and post prolifically. A recent study found that 1% of conflict-seeking Reddit communities produced 74% of all conflict content across the platform. Similarly, another study found that 60% of hateful speech on Twitter came from a small community of users. These findings reflect what seems to be a broader pattern across social media platforms—the majority of problematic content is produced by a small, but vocal, minority of users. Study author Angela Y. Lee and her colleagues investigated Americans’ beliefs about how many social media users contribute to harmful content and examined the consequences of such beliefs. They hypothesized that people would overestimate the prevalence of harmful users on social media. In turn, this misperception might foster excessive cynicism about their fellow citizens. These authors suggest that when people believe that many of their fellow Americans are posting harmful content, they may develop more negative views of society and perceive greater moral decline than actually exists. To explore this further, study authors conducted three surveys of U.S.-American adults via CloudResearch Connect, matched to national quotas on age, gender, race, and ethnicity. The total number of participants across the three surveys was 1,090. The first study asked participants to read about two research studies that identified how many Reddit accounts had posted toxic content and how many Facebook users had posted false news on the platform. Participants then provided their estimates regarding how many social media users produced such content. In study 2, participants read about a Google system used to detect toxic language. They also viewed 20 comments from actual Reddit users, half of which were severely toxic, and half were not. They were then asked to identify the comments the Google system would classify as toxic. Study 3 was an experiment where participants in one condition read a text explaining how scientists found that most people never share toxic content online. This was the misperception correction condition. The other experimental condition was a control condition, where they read about how Reddit was founded. The text the control group read did not mention online toxicity. After this, participants in both conditions completed measures of social media use, cynicism, generalized trust, perceptions of moral decline, and beliefs about the kinds of content that should go viral on social media. Results showed that, on average, participants believed that 43% of all Reddit users posted severely toxic comments and that 47% of Facebook users shared false news online. In reality, platform-level data shows that most of these forms of harmful content come from 3-8.5% of users—a small, but highly active, group. The experiment revealed that participants in the misperception correction condition tended to see their fellow U.S. citizens as being in less moral decline compared to participants in the control condition. They also felt more positive and were more likely to understand that others do not desire harmful online content. However, there were no differences between the two groups in cynicism and generalized trust in human nature. “Our results reveal people do not realize that most harmful content on social media is produced by a small, prolific group of users. Instead, they believe that the amount of harmful content on social media is the result of many users participating in harmful behaviors,” study authors concluded. The study contributes to the scientific knowledge about Americans’ perceptions of social media and their users. However, it should be noted that the study only involved U.S. participants and focused on only two types of harmful behaviors on two platforms. Because of this, the findings may not fully generalize to other countries, other cultures, and other social media platforms. Read more: psypost.org/americans-system…
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Here are some additional remote earning platforms worth checking out 1. CloudResearch Connect — Similar to Prolific, focused on research studies and AI-related tasks. 2. User Interviews — High-paying research interviews. Some studies pay $20–$100 . 3. UserTesting — Website/app testing instead of classic surveys. Pays better than most survey sites. 4. dscout — Mobile diary studies and app testing. Some missions pay very well. 5. Testerup — app offers tasks, legit but inconsistent
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December 2024 CloudResearch poll of nearly 6,000 U.S. adults found that 28% of liberals supported the murder, compared to 5% of conservatives, & 48% of liberals expressed moderate to strong sympathy for Mangione.
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I attended the webinar too, but the findings below make me more pessimistic. I also think that basing detection on agentic signals might backfire in the long run by filtering out the growing number of genuine participants who rely on these tools. polarizationresearchlab.org/…

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palun networkcontagion.us/wp-conte… "The NCRI conducted a national survey of 2,221 American adults using CloudResearch Prime Panels, an Amazon service. To ensure a high quality of responses, respondents were filtered out for failing either of our two attention checks, or finishing the survey in an unrealistic amount of time, leading to a final sample of 1,055 respondents." lol. CloudResearchi Prime Paneelid on kvaliteedilt kolmas järk. Imho see, mis nad kvaliteedi tagamiseks sellises paneelis tegid, ei ole piisav. Samuti, too pealkiri on clickbait. 2 USA kandidaadi kontekstis leidsid nad oma küsitlusest tolle tulemuse ja USA valijate seas. Suurusjärgud on siin eriti veidrad: "Earlier this year, the NCRI identified that 56% of Left-of-Center respondents believed there was at least some justification for murdering Donald Trump" - "54% of Right-of-Center respondents believed there was at least some justification for murdering Mayor Elect Zohran Mamdani." See tulemus on äärmiselt jabur ja viitab, et neil on midagi protsessis väga pekkis. Kõrgekvaliteetsemad alternatiivid saavad mitu korda madalamaid tulemusi sarnastes küsimustes. yougov.com/en-us/articles/52… Kvaliteetsemad uuringud leiavad ikkagi ka ootatuma tulemuse. Mehed suuremas osakaalus näevad, et vägivald võib mingis kontekstis olla põhjendatud kui naised.
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It's hard to know for sure - our tests certainly have some false positive (and false negative) rate. Just on principle, I don't think anyone can be confident that they are detecting AI in general (as opposed to unmodified versions of specific AI agents) 100% of the time.
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Super weird since @CloudResearch had a big media push on how they detect AI 100% of the time. Maybe that was a bit premature....
Replying to @OlegUrminsky
The results differ substantially across platforms. @Prolific and @CloudResearch’s Connect panel have relatively low failure rates, while Mturk (even via @CloudResearch) has a high failure rate.
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The results differ substantially across platforms. @Prolific and @CloudResearch’s Connect panel have relatively low failure rates, while Mturk (even via @CloudResearch) has a high failure rate.
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CloudResearch did one of their "Engage" surveys that dropped the same week as Kirk getting killed that showed that like 60% of college students surveyed didn't even know who he was.
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Make $9999 per month Check out these websites, sign up and start working Remotasks Prolific Mercor Scale AI Mindrift Toloka Clickworker Handshake AI Appen (CrowdGen) DataAnnotation Invisible Technologies TELUS International AI Alignerr Lionbridge LXT AI Outlier AI CloudResearch OneForma Neevo by Defined. ai OpenTrain AI Amazon Mechanical Turk Hive Micro Remotely4U Labelbox Surge AI Teemwork. ai TaskVerse Microworkers UHRS (via Clickworker / OneForma / Teemwork) Cohere AI (contract roles) ModSquad Livingston Research AppJobber UserInterviews UserTesting Testlio Tester Work Testbirds uTest Userlytics Respondent Trymata UserCrowd PlaytestCloud Prodege (AI training projects) Luel AI Outsourcely (AI projects occasionally) Fiverr (AI training gigs) Upwork (AI data training jobs) Turing Welocalize AI RWS Moravia DeepL (linguistic AI roles) Summa Linguae Technologies Datavio AI These sites pay you for helping train AI, testing apps/websites, completing research tasks, or doing small online jobs.
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10 hours per day , make $10,000 per month . Check out these websites, sign up and start working . Remotasks Prolific Mercor Scale AI Mindrift Toloka Clickworker Handshake AI Appen (CrowdGen) DataAnnotation Invisible Technologies TELUS International AI Alignerr Lionbridge LXT AI Outlier AI CloudResearch OneForma Neevo by Defined. ai OpenTrain AI Amazon Mechanical Turk Hive Micro Remotely4U Labelbox Surge AI Teemwork. ai TaskVerse Microworkers UHRS (via Clickworker / OneForma / Teemwork) Cohere AI (contract roles) ModSquad Livingston Research AppJobber UserInterviews UserTesting Testlio Tester Work Testbirds uTest Userlytics Respondent Trymata UserCrowd PlaytestCloud Prodege (AI training projects) Luel AI Outsourcely (AI projects occasionally) Fiverr (AI training gigs) Upwork (AI data training jobs) Turing Welocalize AI RWS Moravia DeepL (linguistic AI roles) Summa Linguae Technologies Datavio AI These sites pay you for helping train AI, testing apps/websites, completing research tasks, or doing small online jobs.
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For the past 1 month, i have been researching how people are currently making up to $10k monthly remotely and i have discovered a list of 50 top sites they've been gate keeping. Remotasks Prolific Mercor Scale AI Mindrift Toloka Clickworker Handshake AI Appen (CrowdGen) DataAnnotation Invisible Technologies TELUS International AI Alignerr Lionbridge LXT AI Outlier AI CloudResearch OneForma Neevo by Defined. ai OpenTrain AI Amazon Mechanical Turk Hive Micro Remotely4U Labelbox Surge AI Teemwork. ai TaskVerse Microworkers UHRS (via Clickworker / OneForma / Teemwork) Cohere AI (contract roles) ModSquad Livingston Research AppJobber UserInterviews UserTesting Testlio Tester Work Testbirds uTest Userlytics Respondent Trymata UserCrowd PlaytestCloud Prodege (AI training projects) Luel AI Outsourcely (AI projects occasionally) Fiverr (AI training gigs) Upwork (AI data training jobs) Turing Welocalize AI RWS Moravia DeepL (linguistic AI roles) Summa Linguae Technologies Datavio AI These sites pay you for helping train AI, testing apps/websites, completing research tasks, or doing small online jobs. In the coming days, I'll teach you how to scale each one and register without getting banned. I am also currently building a team that will help at least 1000 of you create accounts to get started. Stay tuned
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