A suitable example is a digital news report published by The Hindu on its online platform about the findings of the National Family Health Survey (NFHS-5), highlighting the rise in obesity, changes in fertility rates, nutrition, and public health indicators in India. The report presents statistical findings collected from a large population and explains their implications for health policy and social development. Such reports are common on digital news platforms because they combine official datasets, visualizations, expert opinions, and multimedia content to make complex information accessible to readers. The type of social science research reflected in this report is quantitative research, supported by elements of descriptive research. The report is based on structured data collected through surveys involving thousands of households across different states and demographic groups. Quantitative research focuses on numerical data, statistical analysis, measurement of variables, and objective interpretation of social phenomena. Since the report summarizes measurable indicators such as body mass index, fertility rates, child nutrition, and healthcare access, it clearly demonstrates the characteristics of quantitative social science research. Descriptive research aims to describe the characteristics, conditions, or trends within a population without attempting to manipulate variables or establish direct cause-and-effect relationships. The NFHS survey does not conduct experiments but records existing social and health conditions. The digital news report reflects this descriptive nature by presenting percentages, comparisons, and demographic patterns across regions, gender, age groups, and income categories. The report also demonstrates the systematic nature of social science research. Data are collected using standardized questionnaires, scientifically designed sampling methods, and trained field investigators. Such a process ensures consistency and reliability in the collected information. Unlike opinion-based journalism, the report relies on empirical evidence gathered through recognized research procedures. One of the important concepts in social science research is the use of representative sampling. Since it is impossible to collect information from every individual in the country, researchers select scientifically representative samples that reflect the characteristics of the larger population. The NFHS survey follows multistage sampling techniques to ensure representation of urban and rural populations, different socioeconomic groups, and various states. The digital news report presents findings that can therefore be generalized to the national population with reasonable confidence. The report also reflects the concept of operationalization. Abstract concepts such as health, nutrition, women's empowerment, or quality of life are converted into measurable variables. For example, nutritional status is measured through body mass index, child growth indicators, anemia levels, and dietary patterns. Fertility is measured through the total fertility rate, while healthcare access is measured using institutional delivery rates and immunization coverage. These measurable indicators allow researchers to conduct statistical analysis and enable journalists to report findings accurately. Another important feature reflected in the report is the use of secondary data. The journalist did not conduct the survey independently but relied on official research conducted by government agencies and research institutions. Secondary data analysis is widely used in digital journalism because it allows reporters to interpret existing datasets, identify trends, compare historical developments, and explain their significance to the public. Responsible digital journalism often depends on reliable secondary sources such as government reports, census data, academic research, and international organizations. The report also demonstrates evidence-based journalism. Modern digital journalism increasingly emphasizes factual reporting supported by data rather than speculation.