app.py

from transformers import pipeline
import streamlit as st
import pandas as pd
from PIL import Image
import os

# title
st.title('Combatting Climate Change Misinformation with Transformers')

# section 1: the context, problem; how to address
st.markdown("### The Problem 🤔")
st.markdown("")


# section 2: what is misinformation? how is it combatted now? how successful is this?
st.markdown("### More about Misinformation")

st.markdown("What is misinformation? How does it spread?")
st.markdown("* **Misinformation** can be defined as “false or inaccurate information, especially that which is deliberately intended to deceive.”")
st.markdown("* It can exist in different domains, and each domain has different creators and distributors of misinformation.") 
st.markdown("* Misinfofrmation regarding climate change is often funded by conservative foundations or large energy industries such as gas, coal, and oil. (1)")

misinfo_flowchart = Image.open('images/misinfo_chart.jpeg')
st.image(misinfo_flowchart, caption='The misinformation flowchart. (1)')

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).")

st.markdown("How is climate change misinformation combatted now?")

# section 3: how can transformers help?

# section 4: The process

# section 5: my work

# section 6: analysis

# section 7: conclusion

# references

st.markdown("## References")
st.markdown("1. https://www.carbonbrief.org/guest-post-how-climate-change-misinformation-spreads-online")