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Fig.4. Map of terms’ interconnection Continuing with the presentation of results, a map shows the interconnection of the main keywords in a complex we the words “Russia” and “Ukraine” are two of the main keywords at the center of the network, standing out as fundamenta approach allows to visualize in a striking way the relevance and prominence of these two keywords in the analyzed context, highlighting the importance they have in the identified connections. This graphica understanding of the relationship and b (Fig. 4). In this map, it can be clearly seen that nodes in the represented connections. This visua representation provides a deeper and more visua interaction between the keywords.

Figure 4 Map of terms’ interconnection Continuing with the presentation of results, a map shows the interconnection of the main keywords in a complex we the words “Russia” and “Ukraine” are two of the main keywords at the center of the network, standing out as fundamenta approach allows to visualize in a striking way the relevance and prominence of these two keywords in the analyzed context, highlighting the importance they have in the identified connections. This graphica understanding of the relationship and b (Fig. 4). In this map, it can be clearly seen that nodes in the represented connections. This visua representation provides a deeper and more visua interaction between the keywords.

Related Figures (5)

Table 1. News Agency and country n tweets over time and in relation to the main themes identified in the word frequency inalysis. The correlation between bigrams and trigrams was analysed. Identifying the nost common word combinations in the tweets and their relationship to the main themes n the word frequency analysis. ru 4 ym eo | 6g acer % 1 42934 @ oo — Pa ae
Table 1. News Agency and country n tweets over time and in relation to the main themes identified in the word frequency inalysis. The correlation between bigrams and trigrams was analysed. Identifying the nost common word combinations in the tweets and their relationship to the main themes n the word frequency analysis. ru 4 ym eo | 6g acer % 1 42934 @ oo — Pa ae
Table 3. Trigram Tweets in Humanitarian Crises
Table 3. Trigram Tweets in Humanitarian Crises
In the Fig. 3 on the dispersion of the frequency of Tweets, it can be observed that, although all international agencies address the issue of war, not all of them do so with the same frequency. A comparison of the terms “Ukraine” and “Sudan” clearly shows the different level of interest that international agencies have in each of these terms. This analysis demonstrates the dynamics and varied attention that international agencies pay to different global events, which can be of great relevance for understanding media coverage of these issues in international contexts.
In the Fig. 3 on the dispersion of the frequency of Tweets, it can be observed that, although all international agencies address the issue of war, not all of them do so with the same frequency. A comparison of the terms “Ukraine” and “Sudan” clearly shows the different level of interest that international agencies have in each of these terms. This analysis demonstrates the dynamics and varied attention that international agencies pay to different global events, which can be of great relevance for understanding media coverage of these issues in international contexts.
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