read_json(lines=True) broken for s3 urls in Python 3 (v0.20.3)
#### Code Sample, a copy-pastable example if possible

Using Python
```python
import pandas as pd
inputdf = pd.read_json(path_or_buf="s3://path/to/python-lines/file.json", lines=True)
```

The file is similar to:
```
{"url": "blah", "other": "blah"}
{"url": "blah", "other": "blah"}
{"url": "blah", "other": "blah"}
```

#### Problem description

When attempting to read a python lines file into a DataFrame using the s3 protocol, the above code will error with:

```
2017-08-08 11:06:14,225 - image_rank_csv - ERROR - initial_value must be str or None, not bytes
Traceback (most recent call last):
  File "image_rank_csv.py", line 62, in run
    inputdf = pd.read_json(path_or_buf="s3://path/to/python-lines/file.json", lines=True)
  File "...env/lib/python3.6/site-packages/pandas/io/json/json.py", line 347, in read_json
    lines = list(StringIO(json.strip()))
TypeError: initial_value must be str or None, not bytes
```

This works fine if the file is local, e.g.:
```python
import pandas as pd
inputdf = pd.read_json(path_or_buf="/local/path/to/python-lines/file.json", lines=True)
```

#### Expected Output

Expect to successfully read the file and error above not to occur.

My current thinking is that when we get the file handle: https://github.com/pandas-dev/pandas/blob/v0.20.3/pandas/io/json/json.py#L333 , you delegate to `s3fs`, which documents that [it only operates in Binary mode](http://s3fs.readthedocs.io/en/latest/#limitations). Therefore when you `read()`: https://github.com/pandas-dev/pandas/blob/v0.20.3/pandas/io/json/json.py#L335, Therefore passing to `StringIO` will fail here: https://github.com/pandas-dev/pandas/blob/v0.20.3/pandas/io/json/json.py#L347 . Maybe it needs a different handler for `BytesIO`?


#### Output of ``pd.show_versions()``

<details>
[paste the output of ``pd.show_versions()`` here below this line]
```
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.1.final.0
python-bits: 64
OS: Darwin
OS-release: 16.6.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8

pandas: 0.20.3
pytest: None
pip: 9.0.1
setuptools: 36.2.7
Cython: None
numpy: 1.12.0
scipy: 0.19.1
xarray: None
IPython: None
sphinx: None
patsy: None
dateutil: 2.6.0
pytz: 2017.2
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: None
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
sqlalchemy: None
pymysql: None
psycopg2: 2.6.2 (dt dec pq3 ext lo64)
jinja2: None
s3fs: 0.1.2
pandas_gbq: None
pandas_datareader: None
```
</details>