Özet:

This study explores topics of anti-immigration discourse against Syrians on Twitter, as well as the accounts and hashtags and mentions in which negative sentiments is most frequently processed. We provide quantitative evidence on some of the key points that contain various wordings that would directly relate to Syrians including "Suriyeli, Suriye etc." and some others indirectly related as in "mülteci, mülteciler, etc." Data included various intersections of the derivative words used together or separately, posted from March 1, 2019 to March 31, 2020 on Twitter. The search revealed five key points representing an agenda of high profile events related to Syrians. Next, these threads were compared with the same timelines on the Twitter Turkey agenda. Social Media data analysis was made by compiling Twitter data about the interactions related to the Twitter Syrian agenda. The tweets sent in line with the keywords and date limits were collected and placed in the excel sheet, and these data were loaded into the SPSS program and quantitative content analysis were generated. The word phrases in the cluster were developed in accordance with the algorithms of Brand Watch, which is a software that can analyze content using artificial intelligence. Even on the busiest days, data revealed Twitter's Syrian agenda accounted for only 2.02 percent of the Turkish agenda. Significant events were found indicative of the key points of the Syrian agenda and negative sentiments against Syrians. Finally, evidence shows high-activity hashtags and accounts hold the power to dominate the Twitter Syrian agenda. The current study reveals how negative sentiments on social media represents a very small part of the agenda in volume, yet to our awe, a certain segment is effective enough to set the agenda using significant events.

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