<|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:"Framing the Trump Administration's Zero Tolerance Policy: A Quantitative Content Analysis of News Stories and Visuals in US News Websites."
Abstract:"A quantitative content analysis was employed to study how websites of newspapers (The New York Times, Washington Post, The Wall Street Journal) and cable news (CNN, MSNBC, Fox News) framed the Trump administration's zero tolerance policy in stories (N = 477) and visuals (N = 501). Overall, Attribution of responsibility was the most used frame and the news content was much more thematic then episodic, with the exception of the Human interest frame. The New York Times and the Washington Post used more frequently the Morality frame, while CNN and MSNBC had more Human interest stories and The Wall Street Journal focus more on the Economic frame. Crime was prominent only on Fox News. The visuals predominantly focused on immigrants in shelters and children stopped at the border, and they portrayed more negative than positive emotions. Fox News was the only news outlet to publish images of immigrants trying to force the border and to release more visuals of men alone. CNN and MSNBC used more frequently images of immigrants looking directly at the camera. Surprisingly, The New York Times, whose stories criticized the policy, published the lowest number of images portraying children behind bars.."
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 = [];
Q4 = [0];
Q5 = [];
Q6 = [1].
Framing the Trump Administration's Zero Tolerance Policy: A Quantitative Content Analysis of News Stories and Visuals in US News Websites
A quantitative content analysis was employed to study how websites of newspapers (The New York Times, Washington Post, The Wall Street Journal) and cable news (CNN, MSNBC, Fox News) framed the Trump administration's zero tolerance policy in stories (N = 477) and visuals (N = 501). Overall, Attribution of responsibility was the most used frame and the news content was much more thematic then episodic, with the exception of the Human interest frame. The New York Times and the Washington Post used more frequently the Morality frame, while CNN and MSNBC had more Human interest stories and The Wall Street Journal focus more on the Economic frame. Crime was prominent only on Fox News. The visuals predominantly focused on immigrants in shelters and children stopped at the border, and they portrayed more negative than positive emotions. Fox News was the only news outlet to publish images of immigrants trying to force the border and to release more visuals of men alone. CNN and MSNBC used more frequently images of immigrants looking directly at the camera. Surprisingly, The New York Times, whose stories criticized the policy, published the lowest number of images portraying children behind bars.