<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Bridging language barriers, bonding against immigrants: A visual case study of transnational network publics created by far-right activists in Europe."
Abstract:"With the growing importance of digital and social media, visual images represent an increasingly attractive medium for far-right political entrepreneurs to mobilize supporters and mainstream voters in the context of increasing polarization and widespread fears of immigrants and refugees. This article investigates how far-right activists use cartoon images poking fun at immigrants to construct a shared ethno-nationalist bond of solidarity across multilingual and transnational networks and publics. Focusing on right-wing activists as political entrepreneurs, I will explore the visual and discursive translation of nationalist symbols and cartoons within different national political contexts and across linguistic and cultural boundaries. Combining the discourse historical approach (DHA) with multimodal analysis, I will trace the cross-cultural translation and sharing of an anti-immigrant poster created by the Swiss People's Party (SVP), a right-wing political party in Switzerland, in its controversial black sheep' campaign. Second, I will show how far-right sympathizers in Italy and Germany, inspired by the SVP, created their own black sheep' cartoons in which they imagine a racist bond of transnational solidarity through the use of images depicting immigrants as Europe's other. This article contributes to the study of transnational network publics by showing the relevance of non-verbal and visual translation strategies used by radical right-wing political entrepreneurs to forge stronger alliances cross-nationally and cross-linguistically.."
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Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.

Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.

Q4: What type of climate or environmental keywords are explicitly mentioned?:  0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.

Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.

Use the following template: 

Q1 = [];
Q2 = [];
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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5];
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Q4 = [0];
Q5 = [];
Q6 = [0].
Bridging language barriers, bonding against immigrants: A visual case study of transnational network publics created by far-right activists in Europe
With the growing importance of digital and social media, visual images represent an increasingly attractive medium for far-right political entrepreneurs to mobilize supporters and mainstream voters in the context of increasing polarization and widespread fears of immigrants and refugees. This article investigates how far-right activists use cartoon images poking fun at immigrants to construct a shared ethno-nationalist bond of solidarity across multilingual and transnational networks and publics. Focusing on right-wing activists as political entrepreneurs, I will explore the visual and discursive translation of nationalist symbols and cartoons within different national political contexts and across linguistic and cultural boundaries. Combining the discourse historical approach (DHA) with multimodal analysis, I will trace the cross-cultural translation and sharing of an anti-immigrant poster created by the Swiss People's Party (SVP), a right-wing political party in Switzerland, in its controversial black sheep' campaign. Second, I will show how far-right sympathizers in Italy and Germany, inspired by the SVP, created their own black sheep' cartoons in which they imagine a racist bond of transnational solidarity through the use of images depicting immigrants as Europe's other. This article contributes to the study of transnational network publics by showing the relevance of non-verbal and visual translation strategies used by radical right-wing political entrepreneurs to forge stronger alliances cross-nationally and cross-linguistically.