Abstract: Romania has proved to be no outlier in the ongoing trend of mainstream-ization of far-right and neo-fascist politics and discourses, despite the optimistic outlook that many shared not long ago. AUR marked a historical success, being the first “radical return” political formation to gain seats in Parliament after 1989. As a result, a process of accelerated normalization of the far-right discourse is taking place, moving the political spectrum further to the (extreme) right, while also rehabilitating historical figures that played a significant role in the Holocaust. The present paper draws on Discourse Historical Analysis and concepts such as “calculated ambivalence” and “dog-whistle politics” to unpack the coded meanings and whistles entwined in the discursive provocations and reactions of AUR’s leader, George Simion. Starting from AUR’s press release from January 2022, minimizing the Holocaust, which set in motion the “right-wing populist perpetuum mobile”, I analyze the main discursive strategies, both confrontational and submissive, used by Simion in his effort to “dog-whistle” to AUR’s ultranationalist supporters, while at the same time denying allegations of antisemitism, Holocaust minimization, and fascist sympathies. For a qualitative measure of the success or failure of these strategies, a complementary critical analysis of the reactions of some of the most prominent antisemitic ultranationalist voices in Romania is carried out. Is Simion a skillful “dog-whistler” or a “traitor”? The study shows that there is a thin and fluid line between the two.
Abstract: This study introduces an annotated dataset for the study of antisemitic hate speech and attitudes towards Jewish people in Romanian, collected from social media. We performed two types of annotation: with three simple tags
(’Neutral’, ’Positive’, ’Negative’), and with five more refined tags (Neutral’, ’Ambiguous’, ’Jewish Community’, Solidarity’, ’Zionism’, ’Antisemitism’). We perform several experiments on this dataset: clusterization, automatic classification, using classical machine learning models and transformer-based models, and sentiment analysis. The three classes clusterization produced well grouped clusters, while, as expected, the five classes clusterization produced moderately overlapping groups, except for ’Antisemitism’, which is well away from the other four groups. We obtained a good F1-Score of 0.78 in the three classes classification task with Romanian BERT model and a moderate F1-score of 0.62 for the five classes classification task with a SVM model. The lowest negative
sentiment was contained in the ’Neuter’ class, while the highest was in ’Zionism’, and not in ’Antisemitism’, as expected. Also, the same ’Zionism’ category displays the highest level of positive sentiment.
Abstract: Common antisemitic visual representations are rooted in Ancient Christianity and the Middle Ages, but we have also witnessed new developments after the Holocaust and the condemnation of fascism. Stereotyping and dehumanization through zoomorphism, demonization, exaggeration of certain physical features anchored in the false presumptions of physiognomy and other visual devices have been weaponized across the centuries for racist and antisemitic agendas. This study undergoes a comparative analysis of two corpuses of antisemitic images from the Romanian press and social media at a distance of one century between them. I analyze the persistency, transformations, and new developments of antisemitic image codes popularized by the Romanian far-right from the start of the 20th century, through to the rise of fascism and the Second World War, up to the present-day social media. This visual qualitative analysis with critical historical insights is carried out on the following corpuses: a) a contemporary subset of 81 memes, digital stickers, and other visuals from 17 Romanian far-right Telegram channels and groups posted over the course of one year (August 2022 – August 2023); and b) 70 archival political cartoons published by 17 far-right ultranationalist newspapers (and one pro-Soviet communist newspaper) between 1911 and 1948. Findings show how persistent certain antisemitic stereotypes have proven across time and different cultural spaces – the hook-nose, zoomorphism, the blood-libel accusations, Judeo-Bolshevism, the satanic representations – and how the visual dimension serves to efficiently implant antisemitic narratives in the collective mind. These (visual) narratives are skillfully recontextualized to fit new (geo-)political realities – the post-Holocaust times, the COVID-19 crisis, the war in Ukraine.
