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098e077
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  1. app.py +13 -2
app.py CHANGED
@@ -23,13 +23,24 @@ st.markdown("* Misinfofrmation regarding climate change is often funded by conse
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  misinfo_flowchart = Image.open('images/misinfo_chart.jpeg')
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  st.image(misinfo_flowchart, caption='The misinformation flowchart. (1)')
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- st.markdown("**Why does this matter?** Through echo chambers, polarization, and feedback loops, misinformation can spread from these large organizes to the public, thus arming the public with pursausive information designed to create scepticism around and/or denial of climate change, its urgency, and climate change scientists. Existing research suggests that misinformation directly contributes to public support of political inaction and active stalling or rejection of pro- climate change policies (1).")
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- st.markdown("How is climate change misinformation combatted now?")
 
 
 
 
 
 
 
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  # section 3: how can transformers help?
 
 
 
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  # section 4: The process
 
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  # section 5: my work
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  misinfo_flowchart = Image.open('images/misinfo_chart.jpeg')
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  st.image(misinfo_flowchart, caption='The misinformation flowchart. (1)')
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+ st.markdown("**Why does this matter?** Through echo chambers, polarization, and feedback loops, misinformation can spread from these large organizes to the public, thus arming the public with pursausive information designed to create scepticism around and/or denial of climate change, its urgency, and climate change scientists. This is especially problematic in democratic societies, where the public, to some extent, influences governmental policy decisions (brookings). Existing research suggests that misinformation directly contributes to public support of political inaction and active stalling or rejection of pro- climate change policies (1).")
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+ st.markdown("How is climate change misinformation combatted now? Below are a few of the ways according to the Brookings Institute:")
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+ st.markdownd("1. Asking news sources to call out misinformation")
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+ st.markdownd("2. Teaching and encouraging media literacy among the public (how to detect fake news, critical evaluation of information provided, etc.")
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+ st.markdown("2. Government ")
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+ st.markdown("3. Fact-checking")
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+ st.markdown("4. Social media platform investment in algorithmic detection of fake news")
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+
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+ st.markdown("However, many of the proposed solutions above require adoption of behaviors. This is difficult to acheive, particularly among news organizations and social media platforms which receive monetary benefits from misinformation in the form of ad revenue from cite usage and viewership.")
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  # section 3: how can transformers help?
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+ # fever dataset
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+ # entailment/contradiction/neutral adoption to support/refute/n.e.i.
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+ # extention to climate
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  # section 4: The process
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+ # this is the pipeline in my notes (u are here highlight)
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  # section 5: my work
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