<|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:"Bias wanted! Examining people's information exposure, quality expectations and bias perceptions in the context of the refugees debate among different segments of the German population."
Abstract:"The growing number of refugees entering Europe since 2015 has quickly ignited a heated public debate on refugees in Germany. Against the backdrop of the media's information and opinion-forming function, this paper examines the importance of mainstream and social media among different segments of the German population. Applying cluster analysis to survey data (n = 1,579), six clusters with specific attitude-behavior combinations concerning the refugee issue were identified: Pro-Refugee Activists, Passive-Affirmative Mainstream, Directly-Involved Ambivalents, Passive-Worried Mainstream, Worried Agitators, and Anti-Refugee Activists. The results show that these clusters differ both in terms of socio-demographic and political characteristics as well as in terms of people's issue-specific media usage, expectations, and evaluations of media coverage. Moreover, the findings indicate that social media play a problematic role in the debate as they seem to reinforce people's pre-existing attitudes toward refugees. The implications of these findings for public debate on refugees are also discussed.."
I have six questions you need to answer.
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 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5];
Q3 = [1];
Q4 = [0];
Q5 = [1];
Q6 = [1].
Bias wanted! Examining people's information exposure, quality expectations and bias perceptions in the context of the refugees debate among different segments of the German population
The growing number of refugees entering Europe since 2015 has quickly ignited a heated public debate on refugees in Germany. Against the backdrop of the media's information and opinion-forming function, this paper examines the importance of mainstream and social media among different segments of the German population. Applying cluster analysis to survey data (n = 1,579), six clusters with specific attitude-behavior combinations concerning the refugee issue were identified: Pro-Refugee Activists, Passive-Affirmative Mainstream, Directly-Involved Ambivalents, Passive-Worried Mainstream, Worried Agitators, and Anti-Refugee Activists. The results show that these clusters differ both in terms of socio-demographic and political characteristics as well as in terms of people's issue-specific media usage, expectations, and evaluations of media coverage. Moreover, the findings indicate that social media play a problematic role in the debate as they seem to reinforce people's pre-existing attitudes toward refugees. The implications of these findings for public debate on refugees are also discussed.