## 4 News Extraction Results  
The \"DNSA\" is enriched with five sources that provide Urdu news articles and three online sources that publish news in the Arabic language. The details of the included news articles from all three languages are summarized in Table 1.  
The progress of research is hindered by the slow development of the DNSP framework, along with limited resources and insufficient financial support. Initially, three local English newspapers, namely Dawn News, The Tribune, and The News were chosen as the test subjects for the DNSE tool. A total of 86,545 URLs (with an average of 2791 URLs) were extracted, including duplicate URLs for news stories. Among these extracted URLs, there were 23,843 unique URLs representing individual news stories (with an average of 769 unique URLs). The extraction results from the newspaper websites of Dawn News, The Tribune, and The News accounted for 6457 news stories (with an average of 208), 4914 news stories (with an average of 158), and 5713 news stories (with an average of 184), respectively [26]. The new extraction/crawling results after the DNSE was enriched with two low-resource languages, i.e., Urdu and Arabic, are keenly analyzed for shortcomings of the DNSP framework and DNSE tool. Table 2 presents the detailed extraction of the DNSE for both the HRL and LRLs. The extraction results are visualized in Figure 4 for all ten sources of the high-resource language, i.e., English. The results show that few news sources do not frequently update the news online and can be replaced by other sources for efficient utilization of the DNSP framework. Evaluating the frequency of new story extraction is crucial due to the continuous and non-periodic nature of the news stream, unlike printed media. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**No.** & **News Source** & **Abbreviation** & **Language** \\ \hline
01 & DAWN News & DN & English \\ \hline
02 & The Tribune & TT & English \\ \hline
03 & The News & TN & English \\ \hline
04 & Geo News & GN & English \\ \hline
05 & Pakistan Observer & PO & English \\ \hline
06 & Pakistan Today & PT & English \\ \hline
07 & ARY News & AN & English \\ \hline
08 & Samaa News & SN & English \\ \hline
09 & Voice of Journalist & VJ & English \\ \hline
10 & Time of Pakistan & TP & English \\ \hline
11 & Express & Ex & Urdu \\ \hline
12 & Daily Pakistan & DP & Urdu \\ \hline
13 & Samaa Urdu & SU & Urdu \\ \hline
14 & Geo Undu & GU & Urdu \\ \hline
15 & Dawn News & DU & Urdu \\ \hline
16 & AI-Jazirah Online & AO & Arabic \\ \hline
17 & Al-Riaz & AR & Arabic \\ \hline
18 & Okaz & OK & Arabic \\ \hline \hline \end{tabular}
\end{table} 
Table 1: News sources in the DNSA. Figure 4: Average new news story extraction for high-resource language “English” from different sources. The extraction process was carried out daily or after waiting for a few days. Figure 5 presents the average count of extracted URLs and unique URLs. The figure illustrates that the number of newly extracted news URLs closely aligns with the count of new news stories obtained from online newspapers and various news channels. The processing of low-resource languages is expensive in terms of time, complexity, and accuracy. The main problems with implementing the DNSE, including URLs, are non-uniform web structure, unknown host issues, and garbage collection. Figures 6 and 7 present the average extraction of new news articles and unique URLs, respectively. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**No.** & **News Source** & **Extracted URIs** & **Unique URLs** & **New URLs** \\ \hline
**English News Sources** & & & & \\ \hline  
K & 192 & 110 & 75 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Average of Six Days Extraction Results of DNSE for both the HRL and LRLs for All Sources. Figure 5: Average URL extraction and unique URL extraction for HRLs. techniques can be broadly categorized into collaborative filtering techniques and content-based techniques.