Question

Crowdsourcing has a number of benefits, but problems include the potential for __________

A.
errors
B.
exaggeration C.
bias
D.
truth

Answer 1

Crowdsourcing has a number of benefits, but problems include the potential for C. Bias

Step-by-step explanation:

The potential problems of crowdsourcing include the potential for errors, bias, and issues related to the accuracy and representation of data. Response bias, selection bias, social desirability bias, and sampling errors can all contribute to inaccurate or skewed results. For example, when respondents inaccurately report their opinions, often due to social desirability bias, this can lead to erroneous conclusions. Selection bias occurs when the method of choosing a sample causes it to be unrepresentative of the whole population, potentially skewing the data collected.

In the context of crowdsourcing, it's also necessary to consider the issue of misattribution, where information from different sources gets confused, and the challenges presented by relative truths within different communities. Researchers need to use strategies such as increasing sample sizes, using randomized samples, and applying differential privacy to help mitigate these problems.

Answer 2

Crowdsourcing can encounter problems such as errors, bias, and unrepresentative samples due to response bias, selection bias, and sampling errors, which can affect the accuracy of the data collected. The correct option is A, B and C.

Step-by-step explanation:

The potential problems of crowdsourcing include the potential for errors, bias, and issues related to the unrepresentativeness of the sample. Crowdsourcing can lead to errors like response bias, where respondents may not accurately report their true opinions. This could be due to factors like social desirability bias, where respondents answer questions in a way that makes them viewed favorably by others.

Another issue is selection bias, which happens when the method by which a sample is chosen causes it to be unrepresentative of the population, thus the results do not reflect the true characteristics of the entire group.

Moreover, crowdsourced data can also have sampling errors if the sample size is too small or not chosen randomly, leading to an inadequate representation of the population.