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English Language Page 1. General Hate Speech Type and Target Tables
(please note that here and further, the definitions “positive,” “negative,” and “neutral” refer to the alleged feelings (position) of the author of the text towards the hate speech statements comprised within).
Òàble 1.1. Hate Speech Types
| Hate Speech Type | Neutral (12) | Negative (15) | Positive (18) | Total | | Making direct and straightforward calls for violence | 0 | 5 | 2 | 7 | | Calling for violence in the form of generalized slogans | 0 | 3 | 3 | 6 | | Advancing direct and straightforward calls for discriminatory practices | 0 | 3 | 4 | 7 | | Issuing calls for discriminatory practices in the form of generalized slogans | 0 | 1 | 1 | 2 | | Releasing veiled calls for violence and discriminatory practices | 0 | 3 | 11 | 14 | | Justifying historic cases of violence and discrimination | 1 | 0 | 9 | 10 | | Releasing publications and/or pronouncements designed to cast doubt on universally recognized historical facts of violence and discrimination | 1 | 2 | 11 | 14 | | Pointing out (for the purpose of getting the target discredited) that an ethnic community or religious group has been maintaining links with Russian or foreign political or government agencies | 0 | 3 | 0 | 3 | | Making statements to the effect that an ethnic community or religious group is inherently deficient (i.e., lacking in culture or intellectual capacity, being unable to undertake creative pursuits) | 5 | 0 | 15 | 20 | | Claiming that certain historical crimes had been committed by an ethnic community or religious group as a whole | 0 | 0 | 5 | 5 | | Claiming that an ethnic community or religious group is criminal by nature | 10 | 7 | 57 | 74 | | Pointing out that an ethnic community or religious group has some inherent moral deficiencies | 5 | 2 | 18 | 25 | | Making casual remarks that an ethnic community or religious group is disproportionately well-off, over-represented in government agencies or mass media operations, etc. | 1 | 6 | 13 | 20 | | Accusing an ethnic community or religious group of negative influences on society or government (for example, “The Russian national identity is being diluted by...”, etc.) | 1 | 7 | 17 | 25 | | Portraying certain ethnic communities or religious groups or their representatives in a derogatory or insulting context | 5 | 0 | 18 | 23 | | Calling for action to prevent migrants representing an ethnic community or religious group from settling in a given region (community, neighborhood, etc.) | 3 | 7 | 16 | 26 | | Printing quoted observations or phrases without proper commentary | 3 | 1 | 5 | 9 | | Mentioning the name of an ethnic community or religious group in a derogatory way | 5 | 1 | 14 | 20 | | Creating a nefarious image of an ethnic community or religious group | 22 | 7 | 73 | 102 | | Total | 62 | 58 | 292 | 412 |
Note: The total number of hate speech types and targets can exceed the total number of filed entries (260) because one entry frequently contains several categories.
This table shows numbers higher than 10 in boldface type. Of course, this is only a tentative indicator, merely used to highlight the more “popular” hate speech types.
The general category of “creating a nefarious image” was encountered most frequently. We regard this type as a special, broad category, since any hate speech manifestation can easily be thrown into this category. The same material can then also be placed into a more specific category. Those coming very close to the “creating a nefarious image” category have been other highlighted types related to references about moral deficiency, creative inability and derogatory descriptions.
Creating a criminal image for a given ethnic community or religious group appears to be the obvious leader among the more specific hate speech types.
A comparable figure is provided by xenophobia-related types that could be interpreted as reflective of a defensive kind of hate speech. This composite figure could be viewed as an indicator of a belief that a certain group or community has a disproportionately large presence relative to the majority in a given area giving rise to a perception that this group has the capability to negatively impact the identity of the majority. Also, it could be indicative of certain calls for a given ethnic community or religious group to be prevented from settling in specific region or the country in general. It is not for nothing that the term “xenophobia” implies both hatred and fear.
To add, the ongoing talk about criminality of an ethnic community is largely reflective of persisting fear. As interpreted by the domestic nationalistic and patriotic columnists, this is indicative of the defensive character of Russian nationalism.
Admittedly, we have already seen quite a large number of calls for violence and discriminatory practices in this country.
Table 1.2. Targets
| Targets | Neutral (20) | Negative (18) | Positive (27) | Total | | Non-whites | 1 | 1 | 0 | 2 | | Non-Slavs | 1 | 3 | 4 | 8 | | Africans | 2 | 1 | 3 | 6 | | Asian ethnic communities | 1 | 3 | 12 | 16 | | Caucasus and trans-Caucasus ethnic communities | 4 | 14 | 22 | 40 | | Central Asian ethnic communities | 3 | 5 | 9 | 17 | | Americans | 5 | 3 | 16 | 24 | | Jews | 5 | 8 | 15 | 28 | | Ukrainians | 1 | 0 | 7 | 8 | | Roma | 1 | 2 | 11 | 14 | | Chechens | 5 | 2 | 17 | 24 | | Azeris | 1 | 2 | 10 | 13 | | Non-Russians | 6 | 7 | 27 | 40 | | Non-Christians | 0 | 1 | 3 | 4 | | Non-Orthodox (possible Christians) | 0 | 0 | 2 | 2 | | Muslims | 2 | 8 | 21 | 31 | | Catholics (and Uniats) | 0 | 0 | 4 | 4 | | Jehovah’s Witnesses | 0 | 0 | 2 | 2 | | Scientologists | 0 | 0 | 1 | 1 | | Estonians | 2 | 0 | 2 | 4 | | Arabs | 1 | 0 | 5 | 6 | | Afghans | 2 | 3 | 5 | 10 | | Pakistanis | 0 | 1 | 1 | 2 | | Armenians | 1 | 2 | 8 | 11 | | Meskhetian Turks | 3 | 0 | 18 | 21 | | Kurds | 0 | 0 | 3 | 3 | | Russians | 0 | 0 | 3 | 3 | | New Muslim teachings | 0 | 1 | 0 | 1 | | Tartars | 1 | 0 | 1 | 2 | | Total | 48 | 67 | 232 | 347 |
Note: for the sake of brevity, categories containing entries of zero will be omitted from this and subsequent tables.
In this table “new and small religious groups” are omitted, a specified target that was not encountered by the monitoring effort.
The more focused tables below will, obviously, have more omissions.
This table also shows numbers higher than 10 in boldface type. There were no surprises as to which categories were most frequently encountered. The list is as follows: “Non-Russians” (which might otherwise be called “Others”), followed by Caucasus and Central Asian ethnic communities, Chechens, Jews and Muslims. Notably, the Muslims category has definitely increased following the September 11 attacks. This circumstance likewise explains the high results for Americans and Asian ethnic communities (meaning non-CIS Asians). Meskhetian Turks, as one will see further below, have been mentioned only in the print material from the Krasnodar territory, where they are concentrated.
Notably, “new Muslim teachings” (generally known as “Wahhabites”) have been targets close to zero times, and “new religious groups” (commonly known as “totalitarian sects”) zero times. Other “religious” indicators likewise appear to be rather negligible. Aside from attitudes towards Muslims, religious xenophobia over the monitoring period was not that popular.
Estonians, Tartars, Kurds and Pakistanis should not have been included in the list in the first place. Apparently, they had been included because of old surveys. But now, especially after the events of September 11, they need to be removed as separate targets for the given monitoring effort.
Table 1.3. Character Types
| Character Type | Neutral | Negative | Positive/td> | Total | | Politician | 7 | 11 | 12 | 30 | | Journalist | 15 | 9 | 99 | 123 | | Official | 3 | 1 | 1 | 5 | | Cultural Worker | 0 | 1 | 6 | 7 | | Expert | 3 | 2 | 13 | 18 | | Layman | 3 | 4 | 6 | 13 | | Judge | 0 | 1 | 0 | 1 | | Law Enforcement Personnel | 1 | 3 | 2 | 6 | | Public Figure | 0 | 0 | 6 | 6 | | Religious Figure | 0 | 0 | 1 | 1 | | Total | 32 | 32 | 146 | 210 |
In our monitoring effort, the “characters” are not necessarily the authors of the given materials. They are the persons from whom the hate speech emanates. However, it is no small wonder that reporters are most frequently encountered in the monitoring effort’s findings, since articles by reporters are the most prominent in the output of any publication. It is simply a question of probability.
Importantly, pronouncements by government officials and public figures have not been encountered often (their attitudes towards hate speech phenomenon being appropriately moderate). But experts, public figures and cultural workers have all come out in support of hate speech. This finding is very significant: one should not forget that hate speech is primarily generated by the society rather than by the state. What is more, one can assume that this phenomenon emerged not so much in the political (in the narrow sense of the term) arena as in that of public life (comparisons of the results in bold face and italics are rather revealing in this regard).
“Layman” primarily refers to the writer of “readers’ letters to the editor,” which are always selected for publication with a specific purpose in mind.
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