# A Methodological Framework for AI-Driven Textual Data Analysis in Digital Media
## 4 Analyzing News Aggregation on the Israel-Lebanon Conflict:
It is important to note that this procedure was not intended to classify the geographic location of the news outlet but to identify potential geographic references in the analyzed headlines' content. The indicators obtained reveal a strong predominance of news related to the internal context of each country, reflecting the local nature of news aggregation by Google News. In the case of Google News Israel, out of the 953 aggregated news headlines, 647 were identified as referencing the country itself, representing 67.89% of the total records. This predominance suggests a pronounced focus on national event coverage, aligned with the intensification of regional conflicts. Similarly, in Google News Lebanon, 637 out of the 990 aggregated news headlines were related to Lebanon, corresponding to 64.34% of the total. This also highlights significant attention to domestic issues, emphasizing the centrality of the country in the circulation of journalistic content. In addition to news related to the national context, references to other identified countries were analyzed. Table 3 highlights the five most mentioned countries in each version of Google News, providing both absolute values and relative percentages. In Google News Israel, Lebanon was the most frequently cited foreign country, with 72 mentions (23.53%), followed by the United States (46 mentions, 15.03%) and the Netherlands (30 mentions, 9.80%). Conversely, in Google News Lebanon, Israel was the most mentioned country, with 115 references (32.58%), followed by the United States (48 mentions, 13.60%) and Syria (35 mentions, 9.92%). These results reflect the regional and international impact of the conflict, highlighting the countries directly involved, such as Israel and Lebanon, as well as external actors like the United States, which plays a mediating and strategic role in the region. Furthermore, \begin{table}
\begin{tabular}{l l l l} \hline \hline
**Google News Israel** & & **Google News Lebanon** & \\ \hline ([PERSON]) [PERSON] & 51 (9.78\%) & [PERSON][PERSON]) [PERSON] & 37 (9.56\%) \\ ([PERSON]) [PERSON] & 49 (9.40\%) & ([PERSON]) [PERSON] & 30 (7.75\%) \\ [PERSON][PERSON]) [PERSON] & 22 (0.42\%) & [PERSON][PERSON]) [PERSON] & 19 (4.90\%) \\ ([PERSON]) [PERSON] & 13 (0.24\%) & [PERSON][PERSON] [PERSON] & 11 (2.84\%) \\ [PERSON][PERSON]) [PERSON] & 11 (0.21\%) & [PERSON][PERSON] [PERSON] & 10 (2.58\%) \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Five most mentioned names. the mentions include countries implicated in the conflict, such as Iran and Syria, as well as the Palestinian Territory in the Lebanese version. It is noteworthy that no mentions of the Palestinian Territory were identified in the records collected from Google News Israel. This absence may be related to editorial positions and biases [93; 94]. Within the knowledge discovery stage of the proposed methodological framework, and considering the nature of this case study, an analysis of the occurrence of clickbait was conducted to identify the use of sensationalism as a dissemination strategy. For this purpose, a multilingual pre-trained model (xlm-roberta-large) [95] was utilized, achieving an accuracy of 97.59% in the original tests described in the literature [96]. In the case of Google News Israel, 313 records (32.84%) were identified as potential clickbait, while for Google News Lebanon, the identified value was 203 records (20.50%). Table 4 presents the results obtained from the application of the clickbait identification model, consolidated through the generation of a word cloud and a sample selection that exemplifies the headlines classified as potential clickbait. The word clouds presented visualize the frequency of terms within the analyzed corpora, with font sizes proportional to their occurrence (frequency). This prioritization highlights recurring themes in each dataset. The analysis of clickbait occurrences in Google News Israel records reveals a significant tendency toward the use of sensationalist headlines, mostly unrelated to the geopolitical conflicts involving the country.