# list all special strings and their replacements
special_strings = [''', '&', 'sha ']
special_string_replacements = ["'", "&", "Shaw "]

# replace each special string appearing in title and transcript columns
for i in range(len(special_strings)):
    df = df.with_columns(df['title'].str.replace(special_strings[i], 
                          special_string_replacements[i]).alias('title'))
    df = df.with_columns(df['transcript'].str.replace(special_strings[i], 
                          special_string_replacements[i]).alias('transcript'))