ROMJIST Volume 23, No. S, 2020, pp. S41-S52
Mironela PIRNAU The Social Networks information noise in crisis situations
ABSTRACT: In the last few years, Social Networks (SNs) have been spreading information and messages with a dynamics that has been changing continuously. The present research highlights the fact that it is very important to know the dynamics of information in SNs, especially in crisis situations. The data used in the present research have been collected from Twitter in January 2020. These data show the fact that it is extremely useful to spread the information referring to the present and future critical and catastrophic events as soon as possible. The results of the data collected from SNs, which have been analysed as soon as possible, can lead to making more efficient the specific activities of the intervention teams. At the same time, they can lead to increasing the awareness of people in reference with future dangers. The data analysis patterns within SNs are quite varied, containing specific words of the analysed field, using both neural networks and AI systems. Irrespective of the analysis method, the informational noise remains significant and must be traced and identified in each specific case. The present study focuses on the contexts above.KEYWORDS: information noise, social networks, logical conditionsRead full text (pdf)