Introduction
While researching the portrayals of refugees by Lithuanian media and its government
and citizens, it became apparent that while there were similarities, there were also
significant differences between the views of citizens and those of both the government
and the media. Therefore, in this paper, I seek to describe the generally negative
view the Lithuanian public has of refugees and explain why this view is not just a
simplified reflection or passive mirroring of the media or the government. I argue
that these perceptions by Lithuanians reflect the value orientation and perspectives
of their local community.
I want to add that there are many Lithuanians in favour of helping refugees, but my
focus is on those who are, for the most part, adamantly opposed to any refugees entering
and staying in Lithuania. In this paper, I aim to show through people’s personal experiences
how they develop their prejudices towards refugees. I seek to illuminate some of the
reasons why a large body of Lithuanians, if not most, are staunchly resistant to refugees
immigrating to the country and, in particular why they consider government assistance
for refugees “unfair” (lit. neteisinga). The answer to the question regarding Lithuanians’ widespread prejudices against
refugees is multifaceted, but there are essential aspects of the root causes of local
resistance that are surprising and complexify the nature of Lithuanian resistance
to refugees in particular and immigrants in general.
I use cultural model theory to describe and analyse a cultural configuration of resistance
to refugees. The individually constructed opinions are similar and converge on a few
collectively shared negative images of refugees. When shared, such individual schemas
are usually referred to as cultural models (Bennardo and De Munck 2014). Holland and Quinn defined cultural models as:
[…] presupposed, taken-for-granted models of the world that are widely shared (although
not necessarily to the exclusion of other, alternative models) by the members of a
society and that play an enormous role in their understanding of that world and their
behaviour in it. (1987, 4)
There is more than one cultural model of refugees in Lithuania; however, the one I
developed sheds light on the underlying conditions that shape critical features of
the Lithuanian cultural model of intolerance.
This article will start with a brief explanation of the cultural model theory, followed
by a concise literature review on immigration and the concept of integration, and
a subsequent discussion about methods of analysis and types of collected data in the
methodology section. The last section summarises the results from gathered data and
introduces the concept of the precariat (Standing 2012; 2014).
Literature review and issues of the concept of integration
To begin with, I will clarify the refugee definition within this text and will shortly
present the Lithuanian context. This paper defines refugees as persons who hold asylum
status in a host country, in this case – Lithuania. Lithuania opened its borders to
refugees in 1997, but between 1997–2015, it has received a little more than 200 asylum
seekers who were granted refugee status (MIPAS, 2017) and has never become a major destination country (EWSI 2019). According to Lindberg and Borrelli (2021), Lithuania is among the least popular destinations for asylum-seekers arriving in
Europe. In 2015, Lithuania received 291 asylum applications (EMN Lithuania 2018). Only a few Lithuanians ever come into direct contact with refugees; however, the
public shares common cultural models or political narratives not necessarily constructed
or implied by the media.
Vermeulen and Penninx (2000, 263) asserted that integration is a multi-dimensional concept with strongly related
structural and cultural dimensions. The social integration approach is one of the
main processes used by the host country to integrate refugees or immigrants (Bornschier and Trezzini 1997). Robila (2018) emphasised multiple factors that contribute to successfully integrating refugees
in the host nation. Her “smooth” (2018, 10) integration formulation includes their
experiences, physical and mental health, and social support factors. Robila argues
that, in general, there is a lack of understanding of the cultural diversity and the
range of experiences refugees bring in. She mentioned the key resilience characteristics:
personal agency, beliefs that life has meaning, goal direction, a sense of purpose,
and motivation.
A problem with this notion of integration is that it is all one-sided – the immigrants
are expected to adapt to the local social and cultural system. Thus, as Rytter (2019) defined, the concept of integration reflects and promotes an asymmetrical relationship
between majorities and minorities. Further, he mentioned that integration often invokes
the idea of society as a whole, where someone (refugees) needs to be integrated into
something (the Lithuanian society).
This research focuses on revealing how members of the public in the host countries
create obstacles not just to immigration and integration but to the act of tolerance
and being sympathetic to the marginal status of refugees. Thus, the question arises
whether there are particular features in the Lithuanian ethos (or character). I will
argue against the tendency to characterise intolerance as part of a people’s cultural
configuration reflecting racism or extreme nationalism. Instead, I will show that
intolerance is, in part, an outcome of a widespread feeling of socio-economic and
cultural insecurity.
Methods
One year of fieldwork and participant observation has been conducted for this research
(before the war in the Ukraine and the resulting Ukrainian refugee crisis in 2022).
During this research, a number of other methods were used: 60 informal conversations
with locals and refugees, 33 online surveys, 40 interviews with locals and 20 interviews
with refugees and immigrants, two freelists with a total of 79 participants, and a
media content analysis in which I reviewed 12 national media articles. This article
presents data elicited using the freelist method. This emic method is simple to use,
where people are asked to “list all the things they associate with X.” Each informant
should give you a list of at least five or more terms. Dengah II et al. (2021) describe freelisting as follows:
Freelists allow social scientists to uncover the components that contribute to an
individual and collective understanding of a given cultural domain. Once replicated,
with more informants and data, we can begin to see a cultural domain take shapes –
some items are recurrent and frequently cited, while others are more idiosyncratic,
uncommon, and thus personal rather than cultural. By looking for patterns across multiple
informants, we can ascertain how members of a cultural group understand a specific
domain. (2021, 15–16)
According to Dengah IIet al. (2021) and Handwerkeret al. (1997), a sample of 30 respondents should be adequate to obtain culturally reliable responses
to a freelist question on a specific domain. The first freelist (N = 33) question
was to list “what and why you think other people do not like about refugees and their
situation?” Results are presented in Table 1 below. A second freelist (N = 46) was somewhat similarly phrased but focused on concerns
(which could also be positive concerns); it asked informants to “list all the concerns
Lithuanians have for refugees immigrating to Lithuania” (see Table 2). Interviews and participant observation data are also used to interpret the implications
of the freelist results.
Table 1: Total frequencies for the top terms (please list what and why you think other people
do not like about refugees and their situation)
Cited Items |
Frequency of Mention |
Relative frequency of Mention |
Smith Index |
Afraid (fear) of different culture, people, unknown, muslims, others |
19 |
0.576 |
0.5758 |
Comes for social, money benefit |
9 |
0.273 |
0.1591 |
Negative media (construct the negative opinion) |
9 |
0.273 |
0.1768 |
Terrorism, criminals, dangerous, aggresive – feeling unsafe |
8 |
0.242 |
0.1591 |
Personal characteristics (unpatient, lazyness, unrealiable, emtionality) |
3 |
0.091 |
0.0808 |
They take the jobs |
3 |
0.091 |
0.0758 |
Islamophobia |
2 |
0.061 |
0.0455 |
Negative politicians (construct the negative opinion) |
2 |
0.061 |
0.0455 |
Stereotypes |
1 |
0.030 |
0.0303 |
Nationalism |
1 |
0.030 |
0.0303 |
Racism |
1 |
0.030 |
0.0152 |
All participants were born in Lithuania. Different informants were recruited for each
sample, so there was no overlap. The median age of participants for the first freelist
was 31 years with an age range between 17–45, while for the second, the median age
was 54.5 with an age range between 27–82. Women constituted 70 % of the two samples
and men 30 %. All research instructions were in Lithuanian and translated for publication
by the author.
Freelist results and analysis: depiction of refugees
Table 1 presents the frequencies and saliency indices of the top terms listed for “what do
Lithuanians dislike about refugees?” The reason was to minimise answering in politically
correct terms if the question concerned their own opinions. It also allowed the portrayal
of the collective rather than individual perception. The main term mentioned was fear of others (here, others refers explicitly to refugees), followed by comes for social and monetary benefits, negative media news and terrorism / criminality. Concepts of racism and nationalism appeared at the bottom of the list, only mentioned
once each. More than half the respondents listed that other people do not like refugees
because they are afraid of different cultures, different people, Muslims, and others.
Some assumptions can be drawn that the high frequency of the answer fear of others implies a kind of nationalistic defence mechanism concerned with how Lithuanian culture
may be viewed as under attack by foreigners. This interpretation appears to be validated
by a wave of extreme anti-immigrant protests throughout Lithuania in the last few
years. These occur across the country but are intentionally located where refugees
reside when they first enter the country. Another presumption rose from the freelist
and interview materials that Lithuanians identify refugees by external features: skin
colour, clothes, and language.
The results of the second freelist (Table 2) are similar to the first one but present rational rather than emotional terms. As
in the first freelist, the second freelist also listed fear of others as the primary concern. After that, there were some significant differences. Job loss and unemployment were significantly more prominent responses than in the first freelist. People are
also worried about the crimes, and they view refugees with suspicion and ambivalence
as refugees are thought to be reluctant to adapt to Lithuanian society. Another interesting
choice with a high frequency was disrespect, which is, in fact, a fear of losing Lithuanian culture, language, culture, religion,
and identity.
Table 2: Total frequencies for the top terms (please list all the concerns Lithuanians have
for refugees immigrating to Lithuania)
Cited Items |
Frequency of Mention |
Relative frequency of Mention |
Smith Index |
Fear of others |
14 |
0.311 |
0.2894 |
Crime |
9 |
0.200 |
0.1677 |
Integration |
9 |
0.200 |
0.1370 |
Job loss, unemployment |
8 |
0.178 |
0.1354 |
Reluctant to adapt |
8 |
0.178 |
0.1312 |
Cheap labour |
7 |
0.156 |
0.0550 |
Disrespect to LT |
7 |
0.156 |
0.0934 |
Security |
6 |
0.133 |
0.0833 |
Social benefits |
5 |
0.111 |
0.0722 |
Terrorism |
4 |
0.089 |
0.0722 |
Fear of Islam, agitation |
4 |
0.089 |
0.0722 |
Negative opinion, rumours |
4 |
0.089 |
0.0444 |
Resistance to Muslims |
4 |
0.089 |
0.0722 |
Thus, the high frequency of answers regarding crime and integration was the leading
theme of the second freelist. Answers uncovered that people think rather rationally
than emotionally, and their concerns are related to the integrational process, including
the language barrier, educational differences, accommodation, their ability to adapt
to a working environment, etc.
Material benefits combined with terms referring to a potential reduction of material
benefits for Lithuanians were also a prominent theme of the second freelist with a
quite high frequency of such answers. Possibly, Lithuanians feel that they are the
victims of social injustice because of their inadequate salaries, low socio-economic
unemployment support, and fear that emigrants will take their or their children’s
future jobs. Social service benefits for pensininkai (the retired) and the unemployed are too insufficient to provide anything but minimal
subsistence. Some typical comments from the interviews were: “The elite force us to
feed refugees when we are starving;” “refugees never worked and will not work in Lithuania;”
“their social benefits will be higher than our minimal salary;” “refugees are being
shoved to us, and then we have to support them financially.”
Locals perceive refugees as benefitting from unfairly given privileges by the government.
Interview and freelist data indicate that intolerance for refugees partially is a
product of their sense of belonging to what Standing (2012; 2014) refers to as the precariat. Standing explicitly considers the precariat a “dangerous class” because it rejects
normative democratic political ideology and practices. He defined the precariat as consisting of three main qualities: insecure jobs with no occupational identity;
their educational levels are higher than the labour they are expected to fulfil, and
that leads to the status of intense frustration (2012, 10); they rely on wages and
insufficient pensions, paid holidays, and other external benefits, their relation
with the state is volatile because the state continues to reduce infrastructural and
general benefits to communities and groups suffering unemployment. It feeds into their
feelings of rage, nostalgia for a better past, and a strongly felt sense of precariousness
in their lives and families.
As Standing (2012) depicts, the precariat is portrayed as a cultural model or an outlook on the self
and society that emerges and is shaped mainly by the material instabilities of contemporary
life. I do not fully agree with a theoretical model of Standing because it remains
vague though vivid. However, it captures the felt anger, even rage expressed by many
Lithuanians about their lives and the immigration of refugees. Another theoretical
perspective that fits the data is Foster’s concept of the “Image of the Limited Good”
lens based on a zero-sum distribution of finite resources – “the more party x receives,
the less I receive” (1965, 296). Both theories pose a material basis for the emergence of psychological dispositions
which pit the self against some “feared” others. Foster provides the generative concept
of refugees taking from the pool of finite resources that would otherwise go to Lithuanians,
and Standing offers a view of a modern world where individuals have uncertain job
situations and lack financial or social security due to the failings of the state
and modern political-economic systems that reduce their ability to find suitable stable
work. Consequently, many post-truth characteristics can be attributed to refugees.
The contribution of this study is that, rather than looking at Lithuanian’s negative
perceptions of refugees being a product of inherent psychological dispositions, they
can be seen stemming from the tenuousness felt in their lives. Perhaps one counter-intuitive
means to reduce intolerance is to lessen the precariousness of middle and lower class
lives. Another instrument could be to emphasise how refugees can work in Lithuanian
businesses or farms to improve the well-being of both groups.
Conclusions
Many studies have shown that media shapes people’s beliefs, values, and behaviours
(Dubow, Huesmann, and Greenwood 2007). However, the views of Lithuanian citizens, who rarely come into direct contact
with refugees, are not simply a reflection or passive mirroring of the media or government.
They individually craft their own schema or script similar thoughts about refugees
and create a shared image and response to the immigration. Thus, Lithuanians are not
just passive receivers of media input but active agents viewing refugees as a threat
to their well-being. Therefore, they adopt media narratives that characterise refugees
as folk devils (Cohen 1972) that will negatively impact Lithuanian culture and threaten lives. However, while
this may be interpreted as the media causing Lithuanians to hold intolerant views
of refugees, my brief analysis points to another interpretation, one where Lithuania’s
insecurities lead them to have negative feelings towards perceived threats to their
well-being, and therefore they use media-constructed narratives to justify their intolerance.
Underlying this ready acceptance of negative profiles is the failure of the country
to provide Lithuanians with reasonable wages, secure employment, and minimal social
services. However, it is important not to see Lithuanians who have negative attitudes
towards refugees not as automatons following negative caricatures of refugees without
thinking, but rather to understand their existential situation as unstable and under
pressure.
Refugees’ situation and public resistance are considered negative not because of ethnicity
but influenced by life’s material and economic conditions. Therefore, because the
media and all the news are primarily contradictory, it has influenced and formulated
Lithuanians’ view of refugees negatively, relating them with terrorism, violence,
or hate. Furthermore, an opinion prevails that unfamiliar people who happened to be
the others possibly will take away material things like jobs, cultural heritage and symbols
that Lithuanians perceive as part of their national identity. Thus, refugees are perceived
to represent an economic, cultural, criminal, and psychological threat to the citizens
of Lithuania. Consequently, the hindrance is being created due to a widespread feeling
of socio-economic and cultural insecurity.
Acknowledgements
The author expresses the gratitude to Prof. David Bozzini at the University of Fribourg
for the valuable comments and to her supervisor Asoc. Prof. Victor De Munck of the
Anthropology Department of the State University of New York – New Paltz for all the
recommendations, guidance, and insights on the data and research.
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