13.33 Stereotyping deceptive and authentic news stories. Major newspapers lose their credibility (and subscribers) when NEWS they are found to have published deceptive or mislead- ing news stories. In Journalism and Mass Communication Quarterly (Summer 2007), University of Texas researchers investigated whether certain stereotypes (e.g., negative references to certain nationalities) occur more often in deceptive news stories than in authentic news stories. The researchers analyzed 183 news stories that were proven to be deceptive in nature and 128 news stories that were con- sidered authentic. Specifically, the researchers determined whether each story was negative, neutral, or positive in tone. The accompanying table gives the number of news stories found in each tone category. Authentic News Stories Deceptive News Stories Negative Tone 59 111 Neutral Tone 49 61 Positive Tone 20 11 Total 128 183 Based on Lasorsa, D., and Dai, J. "When news reporters deceive: The production of stereotypes." Journalism and Mass Communication Quarterly, Vol. 84, No. 2, Summer 2007 (Table 2). a. Find the sample proportion of negative tone news stories that is deceptive. 653 b. Find the sample proportion of neutral news stories that is deceptive. .555 c. Find the sample proportion of positive news stories that is deceptive. .355 d. Compare the sample proportions, parts a-c. Does it appear that the proportion of news stories that is decep- tive depends on story tone? Yes e. Give the null hypothesis for testing whether the authen- ticity of a news story depends on tone. f. Use the SPSS printout in the next column to conduct the test, part e. Test at a .05. 210.43; reject He TONE STORY Crosstabulation STORY Authentic Deceptive Total TONE Negative Count 59 111 170 Expected Count 70.0 100.0 170.0 Neutral Count 49 61 110 Expected Count 45.3 64.7 110.0 Positive Count 20 11 31 Expected Count 128 18.2 31.0 Total Count 128 183 311 Expected Count 128.0 183.0 311.0 Chi-Square Tests Value dif Asymp. Sig. (2-sided) Pearson Chi-Square 10.427 Likelihood Ratio 10.348 22 .005 .006 N of Valid Cases 311

13.33 Stereotyping deceptive and authentic news stories. Major newspapers lose their credibility (and subscribers) when NEWS they are found to have published deceptive or mislead- ing news stories. In Journalism and Mass Communication Quarterly (Summer 2007), University of Texas researchers investigated whether certain stereotypes (e.g., negative references to certain nationalities) occur more often in deceptive news stories than in authentic news stories. The researchers analyzed 183 news stories that were proven to be deceptive in nature and 128 news stories that were con- sidered authentic. Specifically, the researchers determined whether each story was negative, neutral, or positive in tone. The accompanying table gives the number of news stories found in each tone category. Authentic News Stories Deceptive News Stories Negative Tone 59 111 Neutral Tone 49 61 Positive Tone 20 11 Total 128 183 Based on Lasorsa, D., and Dai, J. "When news reporters deceive: The production of stereotypes." Journalism and Mass Communication Quarterly, Vol. 84, No. 2, Summer 2007 (Table 2). a. Find the sample proportion of negative tone news stories that is deceptive. 653 b. Find the sample proportion of neutral news stories that is deceptive. .555 c. Find the sample proportion of positive news stories that is deceptive. .355 d. Compare the sample proportions, parts a-c. Does it appear that the proportion of news stories that is decep- tive depends on story tone? Yes e. Give the null hypothesis for testing whether the authen- ticity of a news story depends on tone. f. Use the SPSS printout in the next column to conduct the test, part e. Test at a .05. 210.43; reject He TONE STORY Crosstabulation STORY Authentic Deceptive Total TONE Negative Count 59 111 170 Expected Count 70.0 100.0 170.0 Neutral Count 49 61 110 Expected Count 45.3 64.7 110.0 Positive Count 20 11 31 Expected Count 128 18.2 31.0 Total Count 128 183 311 Expected Count 128.0 183.0 311.0 Chi-Square Tests Value dif Asymp. Sig. (2-sided) Pearson Chi-Square 10.427 Likelihood Ratio 10.348 22 .005 .006 N of Valid Cases 311

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section: Chapter Questions

Problem 13PT

See similar textbooks