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Once darlings of US markets, Netflix (US:NFLX), PayPal (US:PYPL), and Meta (US:FB) have all seen their stock prices crumble over the last six months. The tech market rout has now crossed the Atlantic to claim its latest victim, online reviews company Trustpilot (TRST), following hefty declines at fellow tech or tech-adjacent companies Wise (WISE) and Deliveroo (ROO). Fake reviews undermine confidence in Trustpilot
Once darlings of US markets, Netflix (US:NFLX), PayPal (US:PYPL), and Meta (US:FB) have all seen their stock prices crumble over the last six months. The tech market rout has now crossed the Atlantic to claim its latest victim, online reviews company Trustpilot (TRST), following hefty declines at fellow tech or tech-adjacent companies Wise (WISE) and Deliveroo (ROO). Fake reviews undermine confidence in Trustpilot
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The previous sections focused on objective measures of sharing fake news as they were based on the number of fake news items people were willing to forward deliberately or accidentally. This section analyzes the respondents' self-perception of how they deal with fake news. For this purpose, we asked whether people have shared a political news story online that they later found out to be made up (accidental sharing) or that they thought at the time to be made up (deliberate sharing). Again we are interested in the individual-level characteristics that explain the accidental and deliberate sharing of fake news. Therefore, in addition to the standard individual-level characteristics, we include our objective measures of deliberate and accidental fake news sharing as an explanatory variable. This allows us to answer whether those who shared more fake news are also aware of their behavior. And it allows us to assess whether the answers to the retrospective question of past sharing behavior-common in the literature-match with actual sharing behavior observed in our experiment. Accidental and deliberate sharing may also be driven by general sharing behavior. Those who never share any news are also not at risk of sharing fake news. To assess the extent of sharing in general, we estimate regressions where we explain the general sharing behavior with individual-level characteristics. We use the number of true headlines that a respondent wants to share as a proxy for general sharing behavior (see Supplement Table 3). Sharing activity decreases with age; right-leaning and male respondents tend to share more, especially in the UK. Hence, some of the significant individual-level drivers of accidental sharing, which we identified earlier, may indeed be partially driven by general sharing behavior.
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The previous sections focused on objective measures of sharing fake news as they were based on the number of fake news items people were willing to forward deliberately or accidentally. This section analyzes the respondents' self-perception of how they deal with fake news. For this purpose, we asked whether people have shared a political news story online that they later found out to be made up (accidental sharing) or that they thought at the time to be made up (deliberate sharing). Again we are interested in the individual-level characteristics that explain the accidental and deliberate sharing of fake news. Therefore, in addition to the standard individual-level characteristics, we include our objective measures of deliberate and accidental fake news sharing as an explanatory variable. This allows us to answer whether those who shared more fake news are also aware of their behavior. And it allows us to assess whether the answers to the retrospective question of past sharing behavior-common in the literature-match with actual sharing behavior observed in our experiment. Accidental and deliberate sharing may also be driven by general sharing behavior. Those who never share any news are also not at risk of sharing fake news. To assess the extent of sharing in general, we estimate regressions where we explain the general sharing behavior with individual-level characteristics. We use the number of true headlines that a respondent wants to share as a proxy for general sharing behavior (see Supplement Table 3). Sharing activity decreases with age; right-leaning and male respondents tend to share more, especially in the UK. Hence, some of the significant individual-level drivers of accidental sharing, which we identified earlier, may indeed be partially driven by general sharing behavior.
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The previous sections focused on objective measures of sharing fake news as they were based on the number of fake news items people were willing to forward deliberately or accidentally. This section analyzes the respondents' self-perception of how they deal with fake news. For this purpose, we asked whether people have shared a political news story online that they later found out to be made up (accidental sharing) or that they thought at the time to be made up (deliberate sharing). Again we are interested in the individual-level characteristics that explain the accidental and deliberate sharing of fake news. Therefore, in addition to the standard individual-level characteristics, we include our objective measures of deliberate and accidental fake news sharing as an explanatory variable. This allows us to answer whether those who shared more fake news are also aware of their behavior. And it allows us to assess whether the answers to the retrospective question of past sharing behavior-common in the literature-match with actual sharing behavior observed in our experiment. Accidental and deliberate sharing may also be driven by general sharing behavior. Those who never share any news are also not at risk of sharing fake news. To assess the extent of sharing in general, we estimate regressions where we explain the general sharing behavior with individual-level characteristics. We use the number of true headlines that a respondent wants to share as a proxy for general sharing behavior (see Supplement Table 3). Sharing activity decreases with age; right-leaning and male respondents tend to share more, especially in the UK. Hence, some of the significant individual-level drivers of accidental sharing, which we identified earlier, may indeed be partially driven by general sharing behavior.
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The investigators approached the case as a possible hate crime, but had difficulty finding evidence to match Mr. Smollett's account. The attack itself was not visible on surveillance cameras. The men flew to Nigeria soon after the incident, the police said, and spoke on the phone with Mr. Smollett while they were away. Upon their return to Chicago on Feb. 13, they were met by investigators and detained for two days.
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The investigators approached the case as a possible hate crime, but had difficulty finding evidence to match Mr. Smollett's account. The attack itself was not visible on surveillance cameras. The men flew to Nigeria soon after the incident, the police said, and spoke on the phone with Mr. Smollett while they were away. Upon their return to Chicago on Feb. 13, they were met by investigators and detained for two days.
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which the latest to the most $2.C.F.S. (F.I.S.Tc.S.C)..The United and L. (USIU.L.A.I-2, making money for the price of money available to save. (G-WN-2-L.) This week: 'A New
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which the latest to the most $2.C.F.S. (F.I.S.Tc.S.C)..The United and L. (USIU.L.A.I-2, making money for the price of money available to save. (G-WN-2-L.) This week: 'A New
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which the latest to the most $2.C.F.S. (F.I.S.Tc.S.C)..The United and L. (USIU.L.A.I-2, making money for the price of money available to save. (G-WN-2-L.) This week: 'A New
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Apple.com: $2.5 billion Amazon.com: $2.6 billion
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Apple.com: $2.5 billion Amazon.com: $2.6 billion
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Apple.com: $2.5 billion Amazon.com: $2.6 billion
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"They make it extremely difficult for you to get out of the program. If I were to say, 'Hey, I can't do this anymore.' They write down every nick or scratch on a vehicle; the average person that tries to return the vehicle, you're looking at well over $100,000 of damages they are going to find in your fleet," he said. "That's what you're going to have to pay or we're going to sue you. I can't even get out." Many drivers also find the job so grueling and low-paid that they last only a few months, forcing the LLC to find new workers on a regular basis. Barnard, the driver who worked for two DSPs in the last three years, said that his one-year tenure at one DSP was the longest of more than 30 drivers. "There were people that were like 25, and they were like, 'This is not how a workplace is supposed to go,' and they left after a couple of weeks," he said. "Then there are a lot of older retired guys trying to do this to make some money for vacations and such, but we were doing things like XL packaging, very heavy stuff. There are people like that who came and went, couldn't get hired anywhere else, and frankly shouldn't have been doing that kind of job."
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"They make it extremely difficult for you to get out of the program. If I were to say, 'Hey, I can't do this anymore.' They write down every nick or scratch on a vehicle; the average person that tries to return the vehicle, you're looking at well over $100,000 of damages they are going to find in your fleet," he said. "That's what you're going to have to pay or we're going to sue you. I can't even get out." Many drivers also find the job so grueling and low-paid that they last only a few months, forcing the LLC to find new workers on a regular basis. Barnard, the driver who worked for two DSPs in the last three years, said that his one-year tenure at one DSP was the longest of more than 30 drivers. "There were people that were like 25, and they were like, 'This is not how a workplace is supposed to go,' and they left after a couple of weeks," he said. "Then there are a lot of older retired guys trying to do this to make some money for vacations and such, but we were doing things like XL packaging, very heavy stuff. There are people like that who came and went, couldn't get hired anywhere else, and frankly shouldn't have been doing that kind of job."
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"They make it extremely difficult for you to get out of the program. If I were to say, 'Hey, I can't do this anymore.' They write down every nick or scratch on a vehicle; the average person that tries to return the vehicle, you're looking at well over $100,000 of damages they are going to find in your fleet," he said. "That's what you're going to have to pay or we're going to sue you. I can't even get out." Many drivers also find the job so grueling and low-paid that they last only a few months, forcing the LLC to find new workers on a regular basis. Barnard, the driver who worked for two DSPs in the last three years, said that his one-year tenure at one DSP was the longest of more than 30 drivers. "There were people that were like 25, and they were like, 'This is not how a workplace is supposed to go,' and they left after a couple of weeks," he said. "Then there are a lot of older retired guys trying to do this to make some money for vacations and such, but we were doing things like XL packaging, very heavy stuff. There are people like that who came and went, couldn't get hired anywhere else, and frankly shouldn't have been doing that kind of job."
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Our core Survey Junkie community offers opportunities to share your perspective via attitudinal based market research. Our SJ Pulse Community offers opportunities to engage in behavioral market research. Get rewarded for your participation.
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Our core Survey Junkie community offers opportunities to share your perspective via attitudinal based market research. Our SJ Pulse Community offers opportunities to engage in behavioral market research. Get rewarded for your participation.
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