According to a survey conducted in the United Kingdom between 2022 and 2023, almost half of all adults had an increased awareness of catfiashing. Overall, ** percent had personally experienced catfishing, and ** percent knew someone who had been catfished. Additionally, one in *** respondents were aware of a catfishing victim who was aged under 18 years. Catfishing is a type of dating scam where people create fake identities on social media and dating sites.

According to a global report conducted throughout 2020, there were 1,315 reported catfishing scams in the Philippines during the examined period. In Nigeria, there were 1,129 reported catfishing incidents in 2020, and 1,054 in Canada. The United Kingdom ranked fourth, followed by Turkey, and Ghana, respectively.

In 2021, reported losses from online romance scams in the United States reached *** million U.S. dollars. This is an increase of over *** percent compared to 2017 when ** million U.S. dollars in losses were recorded from catfishing scams. Catfishing is an online scam where victims are lured into a relationship by means of a fake online persona. On average, victims of catfishing face a loss of around *** thousand U.S. dollars. Over one in ten U.S. adults said they have definitely interacted with a catfish online.

In 2022, people in the United States lost over half a billion U.S. dollars combined from financial catfishing. There were around ****** reported victims, who have lost an average of almost ****** U.S. dollars.

As of January 2022, 13 percent of surveyed adults in the United States reported that they had definitely interacted with a catfish online, whilst 17 percent said that they had probably had this kind of encounter. However, 38 percent of respondents were sure that they had not interacted with an online impersonator.

The global online dating market is experiencing robust growth, projected to reach a substantial market size of approximately $9,500 million by 2025, with a Compound Annual Growth Rate (CAGR) of around 12% anticipated to extend through 2033. This expansion is fueled by an increasing acceptance of online platforms for relationship building, particularly among younger demographics and a growing comfort with digital interactions. Key drivers include the pervasive adoption of smartphones, enhanced internet penetration across developing economies, and the evolution of dating app features to cater to diverse user preferences, from casual encounters to long-term commitment. The market is segmented by gender, with both male and female users contributing significantly to its growth, and by age groups, where the 25 to 34 years and 35 to 44 years segments represent major contributors due to their active engagement with digital services and evolving life stages. Despite the strong growth trajectory, the market faces certain restraints. These include concerns regarding user privacy and data security, the potential for catfishing and fraudulent profiles, and the overwhelming number of choices leading to user fatigue. However, these challenges are being addressed by companies through enhanced verification processes, AI-driven matchmaking, and the introduction of niche dating platforms catering to specific interests and communities. Emerging trends such as the rise of video dating, AI-powered compatibility assessments, and a greater emphasis on mental well-being within the dating experience are shaping the future landscape. Geographically, North America and Europe currently lead the market, but the Asia Pacific region, driven by burgeoning economies and a rapidly digitizing population, is poised for significant future growth, presenting substantial opportunities for market players. This report delves into the dynamic global online dating market, projecting its trajectory from a base year of 2025 through to 2033, with a detailed historical analysis from 2019 to 2024. The study encompasses key players such as Match Group Inc., Spark Networks SE, The Bumble Group, The Meet Group Inc., Badoo, Coffee Meets Bagel, eharmony Inc., EliteMate.com LLC, Grindr LLC, Happn SAS, Love Group Global Ltd., rsvp.com.au Pty Ltd., Spice of Life, Tastebuds Media Ltd., and Zoosk Inc. The report will explore market segmentation across applications (Male, Female) and age types (18 to 24 Years, 25 to 34 Years, 35 to 44 Years, 45 to 54 Years, Others), providing invaluable insights for stakeholders.

A survey conducted in January 2022 found that 73 percent of U.S. internet users agreed that social media companies should be doing more to identify and remove potential catfish from their platforms. Furthermore, ten percent of adults said that social media companies were doing enough with regards to taking action on catfishing. Overall, three percent of respondents felt that companies should be doing less to identify and remove catfishing accounts from their platforms.

59 Global import shipment records of Catfish with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

As of January 2022, eight percent of male and three percent of female U.S. internet users reported that they had definitely sent money to a catfish. Overall, ten percent of men and 12 percent of women said they had probably sent money to someone pretending to be someone else. The vast majority of respondents said they had never sent money to a catfish.

Scientists building the Tree of Life face an overwhelming challenge to categorize phenotypes (e.g., anatomy, physiology) from millions of living and fossil species. This biodiversity challenge far outstrips the capacities of trained scientific experts. Here we explore whether crowdsourcing can be used to collect matrix data on a large scale with the participation of the non-expert students, or "citizen scientists." Crowdsourcing, or data collection by non-experts, frequently via the internet, has enabled scientists to tackle some large-scale data collection challenges too massive for individuals or scientific teams alone. The quality of work by non-expert crowds is, however, often questioned and little data has been collected on how such crowds perform on complex tasks such as phylogenetic character coding. We studied a crowd of over 600 non-experts, and found that they could use images to identify anatomical similarity (hypotheses of homology) with an average accuracy of 82% compared to scores provided by experts in the field. This performance pattern held across the Tree of Life, from protists to vertebrates. We introduce a procedure that predicts the difficulty of each character and that can be used to assign harder characters to experts and easier characters to a non-expert crowd for scoring. We test this procedure in a controlled experiment comparing crowd scores to those of experts and show that crowds can produce matrices with over 90% of cells scored correctly while reducing the number of cells to be scored by experts by 50%. Preparation time, including image collection and processing, for a crowdsourcing experiment is significant, and does not currently save time of scientific experts overall. However, if innovations in automation or robotics can reduce such effort, then large-scale implementation of our method could greatly increase the collective scientific knowledge of species phenotypes for phylogenetic tree building. For the field of crowdsourcing, we provide a rare study with ground truth, or an experimental control that many studies lack, and contribute new methods on how to coordinate the work of experts and non-experts. We show that there are important instances in which crowd consensus is not a good proxy for correctness.

The fish leather market is projected to be valued at $200 million in 2024, driven by factors such as increasing consumer awareness and the rising prevalence of industry-specific trends. The market is expected to grow at a CAGR of 8.4%, reaching approximately $450 million by 2034.

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As of January 2022, 38 percent of surveyed U.S. adults said that they had definitely never interacted with a catfish on social media. However, 13 percent of respondents reported that they definitely had interacted with a catfish on a social media platform and 17 percent said that they probably had. Additionally, 16 percent stated they had probably not been the victim of an online fictional persona scam whilst using social media.

This statistic presents the results of an online survey in which U.S. consumers were asked about their fresh food purchase habits. Some ** percent of the survey respondents indicated to purchase fresh catfish a few times a year.