Arab's Contributions in Investigative Journalism: Participation and Willingness Evaluation
Dr. Ahmed Makharesh /Commonwealth University of Pennsylvania / U.S.A
Dr. Brent Hale / The University of Southern Mississippi - U.S.A
Dr. Laura Stengrim/ The University of Illinois/ U.S.A / stengrim@illinois.edu
Dr. Manasar Alharethi/ Taibah University / K.S.A
Dr. Amer Khaled Ahmad /Zarqa University / Jordan
The Global Investigative Journalism Conference - 2025
Introduction
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Purpose
This study aims to measure Arabs’
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This study also provides insight into citizens' contributions to investigative reporting and their impact on work dynamics.
Literature Review
Research Questions
RQ1: How do Arab citizens (i.e., those not employed by a media organization) perceive citizen investigative reporting?
RQ2: To what extent are Arab citizens (i.e., those not employed by a media organization) willing to participate in investigative reporting?
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Hypothesis
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H1: Arab citizens' understanding of investigative reporting will significantly predict their willingness to engage in the investigative reporting industry.
H2: Arab citizens' willingness to participate in investigative reporting will correlate with their belief that it will increase the quality of Arab journalism.
H3: Arab citizens' understanding of investigative reporting will significantly predict their beliefs that engaging in investigative reporting will result in higher-quality journalism than that generated by state-influenced media.
Method
Method �
Method ��
Method ��
Demographics
Not Employed /Total = 302
Male = 168 (55.6%)
Female = 125 (41.4%)
Unspecified = 9 (3.0%)
18 - 25 years old = 151(50.0%)
26 - 33 years = 78 (25.8%)
34 - 41 years = 48 (15.9%)
49- 42years old = 16 (5.3%)
50 years and over = 9 (3.0%)
The Arabian Peninsula = 196 (56.0%)
Fertile Crescent = 88 (29.1%)
The North Africa = 36 (11.9%)
The Eastern Africa = 9 (3.0%)
Did not finish high school = 4 (1.3%)
High school degree = 75 (24.8%)
Bachelor's degree = 138 (45.7%)
Master’s degree = 55 (18.2%)
PhD, MD, or any other higher degrees = 30 (9.9%)
Results
1. A set of one-way ANOVAs was calculated to examine the relationship between demographic variables and Arabs' understanding of investigative reporting.
This finding suggests that Arabs’ ages significantly influenced their understanding of investigative reporting.
34-41 years old was significantly higher
(M = 3.98, SD = 0.67)
50 years and over
(M = 3.22, SD = 0.80).
Age**
Results
These findings suggest that respondents’ overall willingness to participate is high (M = 3.51),
One-way ANOVAs employed for demographic variables and Arabs' willingness to engage in investigative reporting.
No significant results were found.
1. The first direction measured the demographic variables (age, gender, education, and region) and the participant's willingness to participate in investigative reporting.
2. The second direction utilized Exploratory Factor Analysis (EFA) within the set of the 14 observed items
Through the analysis, three factors emerged.
Risk Avoidance
Check to Power
Hard Core
To test hypothesis 1 (i.e., Arab citizens' (i.e., those not employed by a media organization) understanding of investigative reporting will significantly predict their willingness to engage in the investigative reporting industry),
F(1, 300) = 240.00, p < .001.
The regression model accounted for a substantial proportion of the variance, R² = 0.44.
β = 0.67, t(15.49), p < .001
To test hypothesis 2 (i.e., Arab citizens' (i.e., those not employed by a media organization) willingness to participate in investigative reporting will correlate with their belief that it will increase the quality of Arab journalism),
Therefore, the two variables were strongly correlated. H2 is supported.
To test hypothesis 3 (i.e., Arab citizens' (i.e., those not employed by a media organization) understanding of investigative reporting significantly predicts their beliefs that engaging in investigative reporting will result in higher-quality journalism than that generated by state-influenced media),�
F(1, 300) = 266.60, p < .001.
The regression model accounted for a substantial proportion of the variance, R² = 0.471.
β = 0.67, t(16.32), p < .01.
Discussion
Conclusion
Thank You